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Abstract Workers are driven to work faster in the industrial work environment to meet high productivity targets. An increased work pace leads to increased muscle activation. However, the effect of work pace on bilateral upper trapezius muscles during sewing machine operation in an industrial work environment has not been thoroughly investigated in experimental studies. Therefore, this research aims to conduct an experimental study to analyze the bilateral upper trapezius muscle activity of industrial sewing machine operators at different levels of work pace. Thirty subjects (15 males, and 15 females) continuously performed the sewing operation for two hours in an industrial work environment. Experiments were conducted for two levels of work pace i.e. low pace (100% of standard cycle time) and high pace (120% of standard cycle time). Electromyographic signals were recorded from the bilateral upper trapezius muscles. The EMG amplitude (RMS) among the muscles was computed. A statistically significant (p

Abstract Background Good health can prolong one’s lifespan and is a fundamental human right. Thus, human health is being influenced by prejudiced from sociological, environmental, economic, and geographic aspects. The economy and transportation system pose a serious challenge to the assessment of the health performance of economies. Objective This study aims to assess the health performance of Organization for Economic Cooperation and Development (OECD) economies by using economic and transport-related indicators and examining the role of health expenditure and governance in improving efficiency. Methods This study measures the economy- and transport-oriented health efficiency of 35 OECD economies for the period of 2000–2022. In the first stage, this study employs a slacks-based measure and the data envelopment analysis–window analysis approach to conduct individual (economy and transportation) and joint assessments to measure health efficiency. In the second stage, this study uses the tobit regression method to investigate the effects of influencing factors, namely, government general health and pharmaceutical expenditures, the medical infrastructure, and governance, on health efficiency. Results Empirical results reveal that a 1-unit change in the health expenditure during the research period improves economy-oriented health efficiency by 71% and transport-oriented health efficiency by 58%. The econometric analysis demonstrates that all the coefficients of economy- and transport-oriented health efficiency are significant and positive. Notably, a 1-unit change in the medical infrastructure increases economy- and transport-oriented health efficiency by 50.8%, and a 1% increase in pharmaceutical expenditure increases the health, economy, and transport efficiency scores by 16.3%, 33%, and 58.6%, respectively. Conclusions The findings suggest that some of the economies were efficient with regard to their health-oriented outputs, that is, quality of life and mortality and morbidity rates, and most of the economies demonstrated excellent economic performance. The findings of the transport-oriented health efficiency assessment reveal that the economies were unable to perform well in the last year of the research period owing to the nationwide lockdowns. Nonetheless, they demonstrated efficiency in the first half of the research period. The joint assessment of economy- and transport-oriented health efficiency indicates that economic and transport input resources can adversely affect the GDP and life expectancy simultaneously, and the medical infrastructure, pharmaceutical expenditure, and number of medical graduates serve as constructive stimuli for health efficiency improvement.

Abstract Within the evolving landscape of fifth‐generation (5G) wireless networks, the introduction of network‐slicing protocols has become pivotal, enabling the accommodation of diverse application needs while fortifying defences against potential security breaches. This study endeavours to construct a comprehensive network‐slicing model integrated with an attack detection system within the 5G framework. Leveraging software‐defined networking (SDN) along with deep learning techniques, this approach seeks to fortify security measures while optimizing network performance. This undertaking introduces network slicing predicated on SDN with the OpenFlow protocol and Ryu control technology, complemented by a neural network model for attack detection using deep learning methodologies. Additionally, the proposed convolutional neural networks‐long short‐term memory approach demonstrates superiority over conventional ML algorithms, signifying its potential for real‐time attack detection. Evaluation of the proposed system using a 5G dataset showcases an impressive accuracy of 99%, surpassing previous studies, and affirming the efficacy of the approach. Moreover, network slicing significantly enhances quality of service by segmenting services based on bandwidth. Future research will concentrate on real‐world implementation, encompassing diverse dataset evaluations, and assessing the model's adaptability across varied scenarios.

Introduction Upper crossed syndrome (UCS) is a common musculoskeletal issue that includes the dysfunctional tone of the muscles in the shoulder girdle or cervicothoracic region. The objective of the current study is to compare the effects of muscle energy techniques with the National Academy of Sports Medicine-based exercise protocol on pain, range of motion, and disability in patients with UCS. Methods It was a single-blinded randomised clinical trial carried out in the Physiotherapy Department of the University of Lahore Teaching Hospital, Pakistan. Fifty patients with upper cross syndrome aged between 20 to 35 years were randomly allocated into two groups: group A (routine physical therapy combined with muscle energy techniques) and group B (routine physical therapy combined with the National Academy of Sports Medicine-based exercise protocol) for three sessions per week for total 8 weeks. Data were collected at baseline, 4 th , 8 th , and 12 th week for assessing the long-term effects of the treatment protocol as well. The Visual Analogue Scale, Neck Disability Index, and an inclinometer were used to measure the pain, disability, and range of motion of the cervical region, respectively. The data was analysed using SPSS version 23.0 (IBM, New York, USA). Results Out of 50 participants, 30 were male and 20 were female. The mean age of all the participants in experimental group A was 29.76 ± 2.89 and that in experimental group B was 30.56 ± 2.48. At the 4 th , 8 th , and 12 th week, pain and disability were significantly ( p -value < 0.05) reduced and cervical range of motion was significantly ( p -value < 0.05) improved within both groups. After 8 weeks of treatment, a significant between-group difference was seen in favour of group A in terms of cervical range of motions (flexion, extension, rotation, and side bending) with p -values of less than 0.05 and in favour of group B in terms of pain ( p -value 0.03) and disability ( p -value 0.04) was seen. These differences were maintained at the 12 th week follow-up as well. Conclusions This study concluded that both NASM (National Academy of Sports Medicine-based exercise protocol) and METs (muscle energy techniques) are effective treatment options for people with upper cross syndrome. It was also concluded that METs are more effective in improving Range of motion (ROM), while the NASM-based exercise protocol is more effective in improving symptoms of pain and neck-related disability.

Background: Measles has been a significant public health concern in Pakistan, especially in the Khyber Pakhtunkhwa (KPK) province, where sporadic and silent epidemics continue to challenge existing control measures. This study aimed to estimate the prevalence and investigate the molecular epidemiology of the measles virus (MeV) in KPK and explore the vaccination status among the suspected individuals. Methods: A cross-sectional study was conducted between February and October 2021. A total of 336 suspected measles cases from the study population were analyzed for IgM antibodies using Enzyme-Linked Immunosorbent Assay (ELISA). Throat swabs were randomly collected from a subset of positive cases for molecular analysis. Phylogenetic analysis of MeV isolates was performed using the neighbor-joining method. The vaccination status of individuals was also recorded. Results: Among the suspected participants, 61.0% (205/336) were ELISA positive for IgM antibodies, with a higher prevalence in males (64.17%) compared to females (57.04%). The majority of cases (36.0%) were observed in infants and toddlers, consistent with previous reports. The majority of IgM-positive cases (71.7%) had not received any dose of measles vaccine, highlighting gaps in vaccine coverage and the need for improved immunization programs. Genetic analysis revealed that all MeV isolates belonged to the B3 genotype, with minor genetic variations from previously reported variants in the region. Conclusion: This study provides valuable insights into the genetic epidemiology of the MeV in KPK, Pakistan. The high incidence of measles infection among unvaccinated individuals highlights the urgency of raising awareness about vaccine importance and strengthening routine immunization programs.

Kingdom of Saudi Arabia has announced to utilize its domestic resources to enhance its future nuclear power capacity to a total of 17.6 GW by 2040. This ambitious plan is followed by mining and extraction of uranium from various approaches both physically and chemically. Therefore, an economical and efficient approach was devised for harvesting uranium content from aqueous solutions by using two bio-sorbent, i.e., date pit sawdust (DPS) and date palm biowaste (PDB). The DPS and PDB were analyzed with BET surface area, FT-IR, SEM, EDX, pHPZC and XRD techniques to examine the surface area, porosity, functional group on surface, morphology, point of zero charge of the materials and nature of materials respectively. Effect of parameters like sorbent dose, solutions pH, concentrations and time of contact on adsorption were studied in a batch method. The findings indicated that both DPS and PDB exhibited significant sequestration of U(VI) with maximum adsorption observed at 6 pH. However, PDB exhibited the maximum sorption percentage (78.80 %) and capacity (3.25 mg/g), followed by DPS (70.5 %, 2.47 mg/g, respectively), for uranium sequestration.

Abstract In this paper, a wideband polarization conversion metasurface is designed. Additionally, coding and chessboard metasurfaces are specifically tailored for radar cross-section reduction (RCS). Initially, a compact unit cell demonstrating exceptional polarization conversion performance is introduced, achieving a polarization conversion ratio (PCR) exceeding 90 $$\%$$ % across frequencies ranging from 7.9 to 22.7 GHz. The PCR remains effective even when oblique incidence angles of up to 30 $$^\circ$$ ∘ are utilized across this frequency band. Roger RT5880, with a thickness of 0.254 mm, serves as the substrate. An airgap is introduced between the substrate and the ground plane to enhance the polarization conversion bandwidth. This unit cell serves as the fundamental building block for subsequent metasurface configurations. To assess the scalability and effectiveness, a 36 $$\times$$ × 36 unit array is assembled, confirming efficient polarization conversion capabilities extending to larger structures. Moreover, a 1-bit coding unit “0” and “1” are formed by the Pancharatnam-Berry phase based on the same-sized meta-atom with 90 $$^\circ$$ ∘ orientations. The robustness and practicality of the design are demonstrated by creating 12 $$\times$$ × 12 lattices and evaluating their RCS reduction potential under two distinct scenarios: a chessboard pattern and a coding-based scheme. Notably, its results indicate substantial RCS reduction across a broad frequency spectrum (7.9 to 22.7 GHz) for both configurations. This study demonstrates the wide-ranging applicability of metasurface design, making it a valuable contribution to the fields of microwave engineering, polarization control, and radar stealth technology. Owing to its simplicity, bandwidth, and versatility, this approach offers innovative solutions for diverse real-world applications.

ABSTRACTChange in land use land cover (LULC) is driven by human activities and drives changes that limit the accessibility of services and products for livestock and humans. This study aimed to develop the spatio-temporal changes in LULC, vegetation cover, and moisture index using multi-temporal satellite data in Southern Punjab, Pakistan. Analysis of satellite data was accomplished using ArcGIS 10.4 software. Based on ground-truthing, the supervised classification technique (maximum likelihood algorithm) was used to achieve the LULC classification. The LULC change analysis revealed that vegetation area converted to the build-up area by 7.17 % and bare soil converted to urban areas by 1.68 % from 2000 to 2021. Average NDVI values were calculated at 0.23, 0.17, 0.19, and 0.14 for 2000, 2007, 2014, and 2021, respectively. In the study area, average NDMI values were observed at 0.28, 0.25, 0.2, and 0.15 for 2000, 2007, 2014, and 2021, respectively. Based on our study, the general trend in Southern Punjab is a decrease in vegetation cover, moisture index, and forest area due to an increase in build-up areas. Assessments of LULC and NDMI changes, as well as estimates of the effect on the environment, are necessary for many policy decisions and planning.

Introduction This study aimed to test how normal physical treatment, with or without home-based intense bimanual training, affected hand coordination and daily living activities in children with cerebral palsy. Methods A randomised controlled experiment was carried out at DHQ Hospital in Kasur, Pakistan. Thirty children with unilateral spastic cerebral palsy took part in the study. The first group received standard physical treatment, whereas the second group received bimanual training along with routine physical therapy. Follow-ups were performed in the fourth and sixth weeks. The paediatric motor log activity scale and the ABILHAND questionnaire were used to assess daily activities and coordination, respectively. Results At baseline, no significant association was seen between treatment groups and hand coordination outcome among the patients ( p = 0.0450) and no significant difference was seen in patients in both treatment groups regarding their activities of daily living. In group A, no significant improvement was seen in hand coordination from baseline until the 6th week ( p = 0.257) while in group B, a significant difference was seen in hand coordination from baseline until the 6th week follow-up ( p = 0.000). Conclusions This study concluded that the combined effect of home-based bimanual exercises and routine physical therapy shows significant achievements in hand coordination and activities of daily living.

Due to the rising demand for energy and the imperative to achieve net-zero carbon emissions, there is a growing focus on nuclear energy for its high efficiency as a clean energy source with minimal direct greenhouse gas emissions. The Kingdom of Saudi Arabia has set forth ambitious plans to construct multiple nuclear power plants in the near future. It is worth noting that phosphate rocks and desalination concentrate both contain relevant concentrations of naturally occurring uranium, presenting potential domestic uranium sources for the envisaged nuclear reactor fleet. This study offers a first systematic overview of the potential quantities of uranium that could theoretically be recovered during seawater desalination and phosphoric acid production in Saudi Arabia using best available technologies. It was found that in 2021 approximately 447–596 t natural uranium could have theoretically been recovered during phosphoric acid production in the Kingdom of Saudi Arabia. In addition, there were also 6.5 t uranium associated with seawater that was desalinated in 2021. If recovered the amounts would theoretically be able to provide 12%–16% (uranium from phosphoric acid) and 0.2% (uranium from seawater desalination) of the annual uranium requirements of the projected Saudi nuclear power plant fleet in 2040. As a result, we strongly recommend fostering research on unconventional uranium recovery during phosphoric acid production by promoting public-private partnerships that have the potential to develop industrial scale solutions.

Islamic Banking (IB) still struggles to institutionalise its practices at the wider societal level. The literature, despite having covered the sector from several angles, has overlooked an objective evaluation of the root causes of its restricted institutionalisation so far. This empirical investigation into Pakistan's IB sector fills this void and investigates the sector's apparent limited success in institutionalising its practices despite having been formally accorded legitimate legal status around the world. The paper, bringing the sector's governance to the spotlight, concludes that the social practice's 'site' of development – the Islamic Shari'ah jurisprudence, has too strong a coupling of internal elements to accommodate the sector's current loose adherence to its principles and laws, and thus the sector, rather than its 'site' of its development, needs to adapt and reorient to accomplish unrestricted institutionalisation. The paper also extends Foucault's theoretical constructs in the sector's peculiar context, which stems from a unique cultural, economic, and regulatory environment. The paper aims to add a new dimension to the IB governance literature and help steer future research focus to areas with the highest marginal utility for the sector and its stakeholders.

Abstract This article introduces a miniaturized dual-band multiple input multiple output (MIMO) antenna with wide bandwidth and high isolation. The design incorporates ground plane modifications and utilizes metamaterials to achieve dual-band operation in the millimeter wave spectrum for 5G applications, specifically operating at the 28/38 GHz frequency bands. The proposed antenna maintains its dual-band functionality despite its compact size of 3.8 $$\times$$ × 3.7 $$\times$$ × 0.787 $$\text {mm}^3$$ mm 3 (without the feed line). The antenna is fabricated on a Rogers RT5880 substrate with a thickness of 0.787 mm and with relative permittivity $$\varepsilon _r$$ ε r = 2.2. The MIMO system comprises two symmetric radiating elements positioned in close proximity, resulting in mutual coupling levels of $$-$$ - 20 dB and $$-$$ - 12 dB at 25 GHz and 37 GHz, respectively. Modifications are made to the ground length to enhance the isolation at the higher frequency band while embedding metamaterials effectively reduces the coupling at the lower frequency band. The incorporation of metamaterials leads to an enhanced bandwidth from 3.8 to 4.8 GHz in the desired lower band (24–28.8 GHz) and from 3.8 to 4.2 GHz in the higher band (36.6–40.8 GHz). The proposed system can operate across the 28/38 GHz bands using a compact design, thus offering reasonable isolation, an envelope correlation coefficient below 0.0001, and a significant diversity gain (> 9.99 dB). These attributes emphasize the system’s suitability for 5G millimeter-wave cellular communications.

Widespread adoption of internet of things (IoT) for automation, monitoring and control in various engineering, business and industrial applications poses serious challenges of data security and cyber-attacks to IoT networks. Blockchain enabled IoT networks, due to their immutability, transparency, and accountability, are commonly employed to ensure safe and secure implementation of the IoT networks. However, blockchain technology is prone to degradation in performance and efficiency in the presence of large number of IoT devices and massive data generated by these networks and does not scale well with the growing size of the networks. This research proposes a Scalable EdgeIoT Blockchain (SEB) framework using EOSIO to enhance the performance and efficiency of the blockchain enabled IoT networks. The proposed framework leverages upon the concepts of sharding for parallel execution of smart contracts, Delegated Proof of Stake (DPoS) for consensus in the network with large number of devices and Interplanetary File System (IPFS) for the data storage and management of massive data in the IoT networks. The proposed framework is implemented in the EOSIO blockchain. This study experiments show significant improvement in the throughput, latency and resource utilization compared to the state-of-the-art solutions in the blockchain enabled IoT networks.

IoT-based remote health monitoring is a promising technology to support patients who are unable to travel to medical facilities. Due to the sensitivity of health data, it is important to secure it against all possible threats. While a great deal of work has been done to secure IoT device-cloud communication and health records on the cloud, insider attacks remain a significant challenge. Malicious insiders may tamper, steal or change patients’ health data, which results in a loss of patient trust in these systems. Audit logs in the cloud, which may point to illegal data access, may also be erased or forged by malicious insiders as they tend to have technical knowledge and privileged access to the system. Thus, in this work, we propose a Cloud Access Security Broker (CASB) model that (a) logs every action performed on user data and (b) secures those logs by placing them in a private blockchain that is viewable by the data owners (i.e., patients). Patients can query the blockchain, track their data’s movement, and be alerted if their data has been accessed by an administrator or moved outside the cloud storage. In this work, we practically implement a web application that receives health data from patients, a CASB that securely stores the records in the cloud, and integrate a private blockchain that immediately logs all actions happening in the backend of the web application and CASB. We evaluate the system’s security and performance under varying numbers of patients and actions.

The microfinance sector’s Paradigm Shift (PS) of the 1990s caused a drastic shift in how Microfinance Organizations (MFOs) ensured their long-term survival and sustainability. The PS required MFOs to adopt a commercial approach in all their operations and pursue profitability and self-sustainability rather than depending on the provision of subsidized funds. Resorting to Schatzki’s (2002) ‘site of the social’ theoretical construct and DiMaggio and Powell’s (1983) institutional theory, this empirical paper aims to evaluate the real performance of Pakistan’s microfinance sector, following the PS, in terms of its strict adherence to its founding objectives of eradicating poverty and serving the extreme poor. This qualitative empirical research paper resorts to the Case Study approach to investigate the pre- and the post-Paradigm Shift eras of Pakistan’s microfinance sector for evaluating the sector’s real ‘success’ in accomplishing its founding aim of eradicating poverty at the grass root level. Analysis of the data reveals that the microfinance sector, in its pursuit of profitability and self-sustainability, following the PS, is compromising its founding commitment to its target beneficiaries – the extreme poor. The study contributes a theory, literature and empirical evidence-informed conceptual framework to help guide organizational change initiatives in the peculiar context of a social service/not-for-profit sector and predict the outcome quality of such a change for all stakeholders. The study outcomes apprise policy-makers and practitioners of the possible negative consequences of the microfinance sector’s gradual transition from a ‘social service’ to a ‘commercial’ model for the poor.

Right ventricular function is independently associated with poor clinical outcomes in patients with various cardiovascular diseases including pulmonary hypertension (PH). The complex geometry and mode of contractility means the right ventricle (RV) inlet and outlet are not in line; hence, 2-dimensional echocardiography fails to accurately quantify RV volumes and function in such patients. Three-dimensional echocardiography (3DE) allows for reliable and reproducible quantification of RV volumes and function by overcoming these limitations of conventional echocardiography. This review focuses on the 3DE assessment of RV function in patients with PH and discusses the following points: (1) acquiring an RV data set for 3DE imaging, including details of all available 3DE systems and software utilized in daily practice; (2) the reliability and feasibility of RV remodeling measured with 3DE with different modalities in patients with PH; and (3) the prognostic value of 3DE-derived RV function in such patients.

Abstract Background To conduct a systematic review looking into the possibility of US imaging to anticipate and identify future patellar or Achilles tendinopathy symptoms. Methods The studies that were taken into consideration for this review were prospective studies that employed baseline US imaging of the patellar OR Achilles tendons in asymptomatic patients and follow-up measures of pain and/or function. Two impartial reviewers evaluated the study’s quality using the Critical Appraisal Skills Programme instrument. Results Participants in the included studies in this review came from various sports. The systematic review revealed a link between baseline tendon abnormalities in the US and a higher chance of developing both patellar and Achilles tendinopathy as well as their future occurrence. Nine of the included studies examined the patellar tendon alone, eight the patellar and Achilles tendon together, and four the Achilles tendon exclusively. For both tendons, US administration is done in a largely consistent manner. The tendon abnormalities of tendon thickness, hypoechogenicity and vascularity at baseline were associated with an increased risk of both Achilles and patellar tendinopathy. Conclusions This systematic review shows that abnormal tendon structures seen by US in asymptomatic persons can predict the development of tendinopathy.

Recent research has suggested that motor imagery may be helpful for the Rehabilitation of Parkinson's disease (PD) patients. Using MI, a movement can be imagined without muscles being activated. MI induces plastic changes in the motor cortex, improving motor performance. This systematic review was designed to examine the effects of MI on the physical rehabilitation of people with Parkinson's disease. Five databases were used to identify similar studies using selected keywords. This review assessed the "methodological quality of each randomized control trial study" using the eleven-point Physiotherapy Evidence Database scale, widely used to rate physiotherapy "literature". The benefits of using MI to treat patients with PD were identified in this review. Seven studies were identified; 6 studies reported motor function, two studies worked on bradykinesia, two on balance and two reported impairments in Gait in PD using MI. The included studies had small samples, varied methodological approaches, and varied quality from good to fair. According to the current review, MI provides more significant benefits for Parkinson's patients than conventional physical therapy alone when used along with other therapeutic methods for improving motor function and balance.

This study aims to scrutinize the phenolic secondary metabolites in the polar peel decocture of Malus domestica var Maharaji via hyphenated techniques along with the study of the antibacterial, anti-candida, and tyrosinase inhibitory potential of bioactive compound-rich fractions. Preliminary phenolics go over was performed together with thin layer chromatography before the polar decocture was subjected to hyphenated techniques. FTIR investigation revealed the C-O bonds as in phenols, O-H bond stretch, and vibrations of alcohols and carboxylic acids as well as portrayed the C-H and >C=O stretches among other functional groups all of which are representative of phenolic and polyphenolic compounds. GC-MS perusal demonstrated the presence of bioactive compounds like Quercetin (13.04%), Ascorbic acid (6.48%), p-Coumaric acid (6.17%), Caffeic acid (5.69 %), Mallic acid (5.44%), Apigenin (5.28%), Citric acid (5.15%), Gallic acid (4.38%), Cyanidin (3.52%), and Ferulic acid (3.51%). Kirby-Bauer method followed by the resazurin microtiter assay technique (REMA) for MIC/MBC against six MTCC bacterial strains and one yeast, all producing stubborn opportunistic infection in humans, was used to assess the antibacterial property of all the bioactive rich fractions. Some fractions comparatively revealed a good activity index (AI) against tested microbes. MIC concentrations for bacteria ranged from 15-24 mg/ml while a lower MBC value recorded was 18 mg/ml. Methanol fraction revealed significant tyrosinase inhibitory activity by revealing IC50 of 980.98 µg/ml when L-Tyrosine was substrate and IC50 of 830.68 µg/ml when L-DOPA was substrate when juxtaposed to standard kojic acid that revealed IC50 of 128.822 µg/ml when L-Tyrosine was substrate and IC50 of 149.43 µg/ml when L-DOPA was substrate. The bioactive compounds possessed by the fractions, may be synergistically, turned out to be more effective in the diphenolase reaction and kojic acid acts more effectively in the monophenolase one. It was inferred that peel phenolics of this malus variety have a lot of therapeutic potential in the context of bacterial infections and pigmentation disorders.

Background and Objectives: It has been seen that jaw opening is associated with neck extension and jaw closing is associated with neck flexion. This natural association between the jaw and neck can be used as a novel approach to treat chronic non-specific neck pain, although the effects of this concept have never been previously evaluated as a treatment strategy. This article intends to study the effects of integrating jaw opening and closing movements along with active neck exercises versus active neck exercises alone in the management of chronic non-specific neck pain. Materials and Methods: A total of 80 patients, aged 20 to 50, with chronic non-specific neck pain were included in a double-blind randomized controlled trial, conducted at the Sindh Institute of Physical Medicine and Rehabilitation, Karachi, Pakistan from 2018 to 2022. The patients were divided into two groups: Group A patients were assigned jaw movements with active neck exercises, while Group B patients were assigned only active neck exercises. Both groups were assigned isometric strengthening exercises and self-resisted strengthening exercises for cervical spine muscles as a home plan. The study used various outcome measures, including the numerical pain rating scale (NPRS), neck disability index (NDI), neck flexion endurance (NFE), neck extension endurance (NEE), the neck proprioception error (NPE): neck flexion proprioception error (NFPE), neck extension proprioception error (NEPE), neck right rotation proprioception error (NRRPE), and neck left rotation proprioception error (NLRPE), with measurements taken at week 1 and week 6, respectively; the mean differences between the groups were measured using a two-way repeated ANOVA. Results: The experimental group showed better improvements compared to the control group, NPRS (73%), NDI (57%), NFE (152%), NEE (83%), NFPE (58%), NEPE (65%), NRRPE (65%), and NLRPE (62%), with a significant difference (p < 0.05). Conclusions: Active neck extension and flexion movements combined with jaw opening and closing are more effective in reducing pain and disability, improving neck muscles endurance and normalizing neck proprioception in patients with chronic neck pain.

In this study, a metasurface-based reflectarray is designed for X-band applications. The unit cells are equipped with an H-shaped slotted patch for additional resonance and phase range. Linear phase variation by altering the length of the patch is realized with a range exceeding 480∘. The reflectarray is designed and fabricated on a thin and high-quality Rogers 5880 substrate. The Finite Element Boundary Integral (FEBI) method is used to simulate a 23×23 element reflectarray and then fabricated to achieve the measured results using an anechoic chamber. The peak gain of the proposed reflectarray is 25.5 dBi recorded with an aperture efficiency of 63.7% at a center frequency of 10 GHz. The cross-polarization and side-lobe levels in the entire band are less than −33 dB and −21 dB, respectively. Moreover, the proposed reflectarray antenna achieves a 20% 1-dB gain bandwidth.

Background: Lumbar Spinal stenosis is the narrowing of the spinal canal at any lumber level. Lumbar spinal stenosis has multiple severities and both conservative and operative treatment options. The objective of the current study was to compare the results of operative and conservative approaches in spinal stenosis treatment. Methods: This cross-sectional study was conducted from January 2019 to June 2019. The data was collected from different hospitals in Lahore (Ittefaq, General, Jinnah, and Hameed Latif). Participants (n=121) of both genders, pre-diagnosed with Lumbar spinal stenosis and symptoms history of 10 weeks (confirmed on imaging) were included. Interventions were decompressive surgery and conventional conservative management. The outcome measures were body pain, functional activities, and the Oswestry Disability Index. An independent sample t-test was used to compare the results between the two groups. A p≤ 0.05 was considered statistically significant. Results: The patients undergoing surgery had statistically significant (p=0.00) advantages of surgery compared to the non-surgical group at 3 months. The 25(36%) of patients remained the same after conservative treatment with 51(72%) having pain radiation and 47(66%) with neurological deficit. The effect of treatment for body pain was 7.8 (95%CI, 8.6, 6.9), physical function −1.3 (95%CI, −0.6, −2.2), and Oswestry Disability Index was −3.4 (95%CI, −2.7, −4.1). Conclusion: Patients who had surgery of spinal stenosis showed marked improvements in body pains, functional activities, and Oswestry disability index compared to conservatively treated. Patients, health care providers, and other stakeholders may get benefit from the findings of this study.

Pulmonary arterial hypertension (PAH) is a chronic and progressive disease that eventually leads to heart failure (HF) and subsequent fatality if left untreated. Right ventricular (RV) function has proven prognostic values in patients with a variety of heart diseases including PAH. PAH is predominantly a right heart disease; however, given the nature of the continuous circulatory system and the presence of shared septum and pericardial constraints, the interdependence of the right and left ventricles is a factor that requires consideration. Accurate and timely assessment of ventricular function is very important in the management of patients with PAH for disease outcomes and prognosis. Non-invasive modalities such as cardiac magnetic resonance (CMR) and echocardiography (two-dimensional and three-dimensional), and nuclear medicine, positron emission tomography (PET) play a crucial role in the assessment of ventricular function and disease prognosis. Each modality has its own strengths and limitations, hence this review article sheds light on (i) ventricular dysfunction in patients with PAH and RV–LV interdependence in such patients, (ii) the strengths and limitations of all available modalities and parameters for the early assessment of ventricular function, as well as their prognostic value, and (iii) lastly, the challenges faced and the potential future advancement in these modalities for accurate and early diagnosis of ventricular function in PAH.

Deer antler extract contains chemical compounds and peptides which have been shown to exert many pharmacological functions. However, the extract may also exhibits potential particle characteristics at nanoscale thereby acting as intrinsic nanozyme upon processing. We aim to test the nanoscale effect on cancer cells. We found that the water extract contains nanoscale particles characterized by SEM, TEM, AFM, zeta potential, and exhibits nanozyme or co-nanozyme activities of phosphatase, catalase which has crosstalk associated with anti-prostate cancer cells viability, especially with combined inhibitor of MET kinase by co-targeting phosphorylation. Network pharmacology analysis also showed immune mechanisms. Docking analysis shows the potent antler extract compound mediated inhibition of MET kinase. Nanoscale particles and compounds from antler extract at least in part, contribute to anticancer mechanisms which would be a promising combination agent in anti-cancer via nanotechnology.

Background and objective: Hypertension is a potentially dangerous health condition that can be detected by measuring blood pressure (BP). Blood pressure monitoring and measurement are essential for preventing and treating cardiovascular diseases. Cuff-based devices, on the other hand, are uncomfortable and prevent continuous BP measurement. Methods: In this study, a new non-invasive and cuff-less method for estimating Systolic Blood Pressure (SBP), Mean Arterial Pressure (MAP), and Diastolic Blood Pressure (DBP) has been proposed using characteristic features of photoplethysmogram (PPG) signals and nonlinear regression algorithms. PPG signals were collected from 219 participants, which were then subjected to preprocessing and feature extraction steps. Analyzing PPG and its derivative signals, a total of 46 time, frequency, and time-frequency domain features were extracted. In addition, the age and gender of each subject were also included as features. Further, correlation-based feature selection (CFS) and Relief F feature selection (ReliefF) techniques were used to select the relevant features and reduce the possibility of over-fitting the models. Finally, support vector regression (SVR), K-nearest neighbour regression (KNR), decision tree regression (DTR), and random forest regression (RFR) were established to develop the BP estimation model. Regression models were trained and evaluated on all features as well as selected features. The best regression models for SBP, MAP, and DBP estimations were selected separately. Results: The SVR model, along with the ReliefF-based feature selection algorithm, outperforms other algorithms in estimating the SBP, MAP, and DBP with the mean absolute error of 2.49, 1.62 and 1.43 mmHg, respectively. The proposed method meets the Advancement of Medical Instrumentation standard for BP estimations. Based on the British Hypertension Society standard, the results also fall within Grade A for SBP, MAP, and DBP. Conclusion: The findings show that the method can be used to estimate blood pressure non-invasively, without using a cuff or calibration, and only by utilizing the PPG signal characteristic features.

Rural and agricultural communities' adaptation to climate change has gained significant attention owing to many countries' vulnerability to climate change risks. A similar trend has been witnessed in South Asia, a highly climate-vulnerable region, where research has grown dramatically considering the agriculture sector's vulnerability to climate-induced disasters. However, little attention has been paid to the adaptation of the livelihoods of rural households. This research, therefore, takes the case of Pakistan to explore livelihood adaptation strategies of rural households to climate change and investigate the factors that expedite or halt the adoption of livelihood diversification strategies. A multistage sampling design is used in this research, where 480 rural households from the Punjab province of Pakistan were selected and interviewed using stratified and random sampling approaches. A multivariate probit (MVP) regression model is employed to analyze the factors affecting households' adoption of livelihood adaptation strategies. The results show that besides adaptation of agronomic operations (agricultural adaptation strategies), rural households in the study area employed a wide range of strategies to adapt their livelihoods to climate change. These strategies include poultry and livestock farming, value addition of farm produce, trading of animals and farm commodities, small businesses (shops, etc.), daily wage labor, horticultural crop farming, and non-farming jobs. The estimates of the MVP model revealed that respondents' education, household size, income, access to a credit facility, access to farm advisory services, and access to climate forecasts have significantly influenced the choice of livelihood adaptation strategies. Based on these findings, this research recommends that the authorities should make efforts to improve farmers' understanding of the adaptation of climate change risks and educate them to adopt multiple livelihood options to improve the resilience of their livelihoods to climate-induced risks. This research has important policy implications for other countries with similar socio-economic features.

Background: The prevalence of cancers differs in different parts of the world and which makes studying every population important to know various risk factors associated with cancers common in various parts of the world. This study was undertaken to know the burden of cancer in rural Kashmir. Materials and Methods: Cases registered in the Department of Radiation Oncology, GMC, Anantnag, during 2019–2020 were enrolled for this study to check the prevalence and profile of cancer. Results: Stomach cancer was the most common cancer diagnosed in 233 patients in 2019–20 overall. In males, it was seconded by esophageal cancer, whereas in females, breast cancer was the second-most common cancer. Conclusion: Patterns of cancer distribution differ vastly across India; cancer patterns in Kashmir are more similar to the Caspian cancer belt with upper gastrointestinal tract cancer dominating both sexes.

This study explored cumulative 127.5MW waste to energy (WtE) potential in five populous cities of Pakistan based on local waste characterization profiles and global standards. The 50MW WtE plant in Lahore using National electricity regulator codes and practices resulted in an attractive Levelized cost of electricity (LCOE) of US¢ 7.86/kWh over 25 years with a $151.5 million investment cost. The net savings to Lahore Waste Management Company can be $103.4 and $137.7 million respectively with and without tipping fees on account of waste disposal cost, bricks revenue using bottom ash, and waste fee. The project developers can get net savings of $16.9 and $51.5 million respectively with and without tipping fees other than LCOE. Furthermore, the greenhouse gas emissions of 216.6 million tons of CO2eq can be saved throughout plant life against 279 GWh/year energy generation, in terms of grid emission factor and current methane release into the atmosphere from the dumping site.

Mid-field wireless power transfer (WPT) offers a compelling solution for delivering power to miniature implantable medical devices deep within the human body. Despite its potential, the current power delivery levels remain constrained, and the design of a compact source structure to focus the transmitter field on such implants presents significant challenges. In this paper, a novel miniaturized transmitter antenna operating at 1.71 GHz is proposed. Leveraging the antenna proximity-coupled feeding technique, we achieve optimal current distribution for efficient power transfer. Additionally, a receiver integrated within the human body is proposed, comprising a slotted ground and a meandering slotted radiating element. This receiver is excited via a coaxial feedline with a truncated ground. Our findings demonstrate wireless power transfer of −23 dB (0.501%) at a distance of 30 mm between the transmitter and receiver, alongside a peak gain of −20 dB with an impedance bandwidth of 39.61%. These results highlight promising advancements in enhancing energy transfer efficiency for deep-implant applications.

Abstract Background Low back pain is one of the most common complaints affecting many individuals. The McGill Pain Questionnaire is used in various clinical settings to assess different types of pain and one of the most extensively used outcomes measures for pain in the world. The purpose of this study was to translate and validate the original English version of the SF-MPQ-2 into Urdu (SF-MPQ-2-U). Methods For this study, Mapi Research Trust protocols were followed for the forward and backward translation. Test-retest reliability was used to assess the reliability. Cronbach’s alpha and Omega was used to determine internal consistency. Pearson’s correlation was used to evaluate convergent validity. Confirmatory factor analysis was also conducted. Results The Cronbach’s alpha for SF-MPQ-2-U was 0.73 to 0.79, indicating acceptable internal consistency. Omega score for the SF-MPQ-U were 0.918. The ICC varied from 0.799 to 0.878 for domains of SF-MPQ-2-U. The CFA of the SF-MPQ-2-U met model fit indices with GFI and NFI > 0.90. The inter-scale correlation between baseline and re-test data was from 0.63 to 0.71, indicating a positive and strong correlation. The SF-MPQ-2-U and ODI-U had a baseline correlation of 0.547. The correlation of SF-MPQ-2-U & VAS at baseline data was 0.558. Pearson’s correlation between subscales was r = 0.253 with p 0.01, which was statistically significant. Conclusion The SF-MPQ-2-U is considered to have good convergent validity at inter scale and between two scale levels. Reliability was checked by test-retest reliability, Internal consistency was checked using Cronbach’s alpha and Omega that showed good internal consistency for measuring different types of pain in patients with low back pain who speak Urdu. To make the questionnaire more valid and reliable, it is recommended for the researchers to do in-depth research on larger sample size.

Introduction: Pregnancy is not a disease but a psychologically challenging period where a woman passes through several social, physical, and psychological challenges in life. This study is aimed at exploring pregnant women perceptions regarding their husbands and in-laws’ support during pregnancy. Material & Methods: A qualitative exploratory design was used. Ten pregnant women in third trimester of pregnancy and living in joint family system were recruited through purposive sampling technique in a village of district Nowshera. Permission was taken from concerned departments as well as from participants before data collection. Interview topic guide was used as tool. Face to face individual In-depth interviews were conducted, audio recorded, transcribed, and analysed through thematic analysis. Results: A total of 100 open codes were found out from the data. In the process of axial coding extra and unnecessary codes were omitted and then 11 categories were identified from open codes. The identified categories were kept under three major themes of lack of comprehensive support mechanism, physical and mental strain, barriers to antenatal services. Perceived support of husbands and in-laws and needs and barriers to maternal and child health were discussed by the participants. Conclusion: Findings suggested that family relationship quality might not be improved by taking interventions i.e. making policies, but the incorporation of health professionals’ support with family member’s behaviour can improve maternal health.

Conclusion: The results clearly indicate that a high dosage of MPT showed antiobesity activity which was comparable to the same effects produced by the conventional drug orlistat.

Background: Literature reveals high prevalence of neck disability in Pakistani population, and limited translated tools are available in Urdu language. Therefore, due to unavailability of screening tools in national language of Pakistan people usually remain unaware regarding the significance of early screening regarding any disease. Objective: To Translate and validate the Copenhagen neck functional disability scale in Urdu language. Methodology: This cross sectional study was conducted at Physical Therapy Department of Haider Hospital in Multan. A total of 75 participants aged between 18 to 40 years of both gender with nonspecific neck pain for minimum 12 weeks were included. Initially, two independent professionals made two forward translation into Urdu language. Then, these translations were synthesized into single translation. The synthesized translated version was translated backward into English language. The expert reviewed the synthesized translated version and backward translated version and approved the translated final synthesized version. The psychometric properties test included internal consistency validity (Cronbach’s alpha), test-retest reliability (ICC 2, 1), and concurrent validity (correlation with Numeric pain rating scale and Neck disability index). Results: The mean The Cronbach’s alpha for Copenhagen neck functional disability scale Urdu version (CNFDS-U) was 0.76 showing good internal consistency. The test-retest reliability determined with intraclass correlation coefficient ICC (2, 1) was 0.84 (95% CI; 0.74 to 0.90, P< 0.001). Test-retest mean scores correlation was r = 0.86 (P < 0.001). The Pearson’s correlation coefficient between CNFDS-U and NDI was r = 0.65 (P

Efficient and cost-effective biosorbents derived from biowaste are highly demanding to handle various environmental challenges, and demonstrate the remarkable synergy between sustainability and innovation. In this study, the extraction of uranium U(VI) was investigated on biowaste activated carbon (BAC) obtained by chemical activation (phosphoric acid) using Albizia Lebbeck pods as biowaste. The biowaste powder (BP), biowaste charcoal (BC) and BAC were evaluated by thermogravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR) and Brunauer-Emmett-Teller (BET) with nitrogen adsorption for thermal properties, chemical structures, porosity and surface area, respectively. The pHPZC for acidic or basic nature of the surface and X-ray diffraction (XRD) analysis were performed for BAC. The morphological and elemental analysis were performed by scanning electron microscopy (SEM) and energy dispersive X-ray (EDX). The extraction of uranium U(VI) ions from aqueous solutions using BAC as sorbent was investigated by using different variables such as pH, contact time, initial uranium U(VI) concentration and BAC dose. The highest adsorption (90.60% was achieved at 0.5 g BAC dose, 2 h contact time, pH 6, 10 ppm initial U(VI) concentration and with 200 rpm shaking speeds. The production of this efficient adsorbent from biowaste could be a potential step forward in adsorption of uranium to meet the high demand of uranium for nuclear energy applications.

Background: Leptadenia pyrotechnica Forssk. Decne is a member of family Apocynaceae and locally known as ‘Khipp’. It is found in dry, sandy habitat of Pakistan and in several other regions around the world including Asia, Tropical Africa, Western Gulf and Mediterranean countries. It has nutritional value, containing 4 % lipids, 23 % proteins, 28 % carbohydrates, 4 % fibers, vitamin E and several minerals. Traditionally, this plant has been used by several communities for pain, different inflammatory and kidney disorders. Ethno-botanical studies have reported the use of L. pyrotechnica in nephrolithiasis, kidney disorders and induction of diuresis, which requires a detailed pharmacological study to validate the folkloric use of L. pyrotechnica as diuretic. Methods: The 70 % methanolic L. pyrotechnica (Lp.Cr) extract was prepared and qualitatively checked for the presence of various phytochemicals. Phenolic, flavonoid, tannin and saponin contents were quantified. GC-MS analysis of Lp.Cr was also performed. Antioxidant potential of Lp.Cr was evaluated by DPPH, ABTS and nitrite radical scavenging assays. CUPRAC and FRAP assay described the reducing potential of Lp.Cr. Diuretic activity was performed in both acute and prolonged models at different doses followed by the estimation of electrolytes, urea and creatinine levels. The mechanism of diuresis was described by pre-treatment with atropine, l-NAME, indomethacin and carbonic anhydrase inhibition. Results: Lp.Cr. indicated high phenolic and flavonoid contents which correlated with good antioxidant activity. GC-MS analysis showed the presence of 104 compounds from different phytochemical classes. Diuretic activity was performed at 10–300 mg/kg concentrations where the dose of 100 and 300 mg/kg showed good diuretic and saluretic activity comparable to furosemide. Lp.Cr exhibited diuresis both in acute and prolonged study protocols which can be attributed to carbonic anhydrase inhibition, effect on prostaglandins and cholinergic pathways. Conclusion: L. pyrotechnica contained several phytochemicals and exhibited good antioxidant activity. It induced diuresis and saluretic activity which was comparable to furosemide at higher doses. Diuretic activity can be attributed to carbonic anhydrase inhibition, prostaglandin synthesis and cholinergic pathways.

Abstract Jumper’s knee is highly prevalent condition in athletes. Very limited evidence is available on clinical effects of tendon dry needling. Therefore, the objective of this study is to compare the effects of ultrasound-guided dry needling (UG-DN) combined with conventional physical therapy and conventional physical therapy alone in patients with jumper’s knee. A total of 96 patients with pre-diagnosed jumper’s knee were randomly assigned to experimental group (UG-DN + CPT) and conventional group (CPT alone) with 48 participants each. Pain intensity and functional disability were recorded using visual Analogue Scale (VAS), Victorian Institute of Sports Assessment-Patellar Tendinopathy (VISA-P) questionnaire, Lysholm Scale, Knee Injury and Osteoarthritis Outcome Score (KOOS) respectively at baseline, at 1st, 2nd, and 4th week. Whereas ultrasonographic features of patellar tendon were measured through musculoskeletal ultrasound (MSKUS) at baseline and 4th week. Total 8 sessions of treatment were provided. Mann Whitney U test and Friedman test were used to compute between and within group differences respectively. P value was significant at 0.05. Results showed that patients in both groups had improvement in signs of jumper’s knee but the improvement in UG-DN + CPT group was more significant (p ≤ 0.05). Significant difference was seen after 4 weeks of intervention in UG-DN + CPT group in VAS (Median ± I.Q.R = 3 ± 1, p = 0.000), VISA-P (Median ± I.Q.R = 83.5 ± 7, p = 0.000), KOOS (Median ± I.Q.R = 83.5 ± 8, p = 0.000), , Lysholm (Median ± I.Q.R = 84 ± 5, p = 0.000) than CPT group VAS (Median ± I.Q.R = 1.5 ± 1, p = 0.000), VISA-P (Median ± I.Q.R = 92 ± 2, p = 0.000), KOOS (Median ± I.Q.R = 92 ± 3, p = 0.000), Lysholm (Median ± I.Q.R = 92 ± 4, p = 0.000) and ultrasonographic features of jumper’s knee were more significant in experimental group(p-value ≤ 0.05). The Ultrasound guided dry needling with conventional physical therapy of patellar tendon had been found an effective treatment for jumper’s knee and helps in reducing pain intensity, improving function and ultrasonographic features in patients with jumper’s knee. UG-DN + CPT group showed more significant results as compared to CPT. Trial registration: (IRCT20210409050913N1). Dated: 17.04.2021.

The proliferation of Internet of Things (IoT) devices and their integration into critical infrastructure and business operations has rendered them susceptible to malware and cyber-attacks. Such malware presents a threat to the availability and reliability of IoT devices, and a failure to address it can have far-reaching impacts. Due to the limited resources of IoT devices, traditional rule-based detection systems are often ineffective against sophisticated attackers. This paper addressed these issues by designing a new framework that uses a machine learning (ML) algorithm for the detection of malware. Additionally, it also employed sequential detection architecture and evaluated eight malware datasets. The design framework is lightweight and effective in data processing and feature selection algorithms. Moreover, this work proposed a classification model that utilizes one support vector machine (SVM) algorithm and is individually tuned with three different optimization algorithms. The employed optimization algorithms are Nuclear Reactor Optimization (NRO), Artificial Rabbits Optimization (ARO), and Particle Swarm Optimization (PSO). These algorithms are used to explore a diverse search space and ensure robustness in optimizing the SVM for malware detection. After extensive simulations, our proposed framework achieved the desired accuracy among eleven existing ML algorithms and three proposed ensemblers (i.e., NRO_SVM, ARO_SVM, and PSO_SVM). Among all algorithms, NRO_SVM outperforms the others with an accuracy rate of 97.8%, an F1 score of 97%, and a recall of 99%, and has fewer false positives and false negatives. In addition, our model successfully identified and prevented malware-induced attacks with a high probability of recognizing new evolving threats.

The current study explores the prospective of a nitrogen-doped graphene (NG) incorporated into ZnSe-TiO2 composites via hydrothermal method for supercapacitor electrodes. Structural, morphological, and electronic characterizations are conducted using XRD, SEM, Raman, and UV analyses. The electrochemical study is performed and galvanostatic charge-discharge (GCD) and cyclic voltammetry (CV) are evaluated for the supercapacitor electrode material. Results demonstrate improved performance in the ZnSe-NG-TiO2 composite, indicating its potential for advanced supercapacitors with enhanced efficiency, stability, and power density. Specific capacity calculations and galvanic charge-discharge experiments confirmed the promising electrochemical activity of ZnSe-NG-TiO2, which has a specific capacity of 222 C/g. The negative link among specific capacity and current density demonstrated the composite’s potential for high energy density and high-power density electrochemical devices. Overall, the study shows that composite materials derived from multiple families can synergistically improve electrode characteristics for advanced energy storage applications.

Objective: to determine the relationship between pain severity and kinesiophobia in patients with chronic neck pain. Study Design: Cross-sectional analytical study Place and Duration of Study: Pakistan Society of Rehabilitation of Disabled, Arif Memorial Hospital, Rashid Latif Medical Institute and Jinnah Hospital, from Aug 2020 to Jan 2021. Methodology: One hundred seventy subjects with neck pain for more than three months were included in the study. Tampa scale was used to measure kinesiophobia, and the Numeric Pain Rating scale was used to assess the pain severity. Results: Out 0f 170 subjects, 83(48.8%) were males and 87(51.2%) were females with a mean age of 31.31 ±4.062 years. A significant association was found between kinesiophobia, pain severity and chronic neck pain with 0.01 p-value. The crammer phi value was 0.418, which showed a strong association. Conclusion: High levels of kinesiobhobia and pain belief should be considered in patients with chronic neck pain as these are both associated with each other.

BackgroundLow back pain is a common health problem globally. Based on the duration of pain, it is classified as acute, subacute, or chronic low back pain. Different treatment strategies are available to reduce chronic low back pain. Virtual reality (VR) is a novel approach in back pain rehabilitation. ObjectiveThis study aimed to compare the effects of VR games on chronic low back pain. MethodsThis quasi-experimental study was conducted among 40 patients with chronic low back pain. The data were collected using a nonprobability, convenient sampling technique. Patients visiting the Department of Physiotherapy, Government Services Hospital, Lahore, Pakistan, were recruited and equally divided into 4 groups. Group A received the Reflex Ridge game; group B received the Body Ball game; group C combined the 2 games without back-strengthening exercises; and group D combined the 2 games with back-strengthening exercises. The participants received 8 treatment sessions, with 3 sessions/wk. The outcomes were pre- and posttest measurements of pain intensity, low back disability, and lumbar range of motion. The repeated measurement ANOVA was used for inter- and intragroup comparison, with significance at P≤.05. ResultsThe study comprised a sample of 40 patients with low back pain; 12 (40%) were female and 28 (60%) were male, with a mean age of 37.85 (SD 12.15) years. The pre- and posttest mean pain scores were 7.60 (SD 1.84) and 4.20 (SD 1.62) in group A, 6.60 (SD 1.776) and 5.90 (SD 1.73) in group B, 6.90 (SD 1.73) and 5.40 (SD 1.07) in group C, and 7.10 (SD 1.53) and 3.60 (SD 0.97) in group D, respectively. The mean pain score differences of group D (combining the Reflex Ridge and Body Ball games with back-strengthening exercises) compared to groups A, B, and C were –.60 (P=.76), –2.30 (P

Objectives: To evaluate the intrarater reliability of the cervical range of motion device among adults with and without chronic non-specific neck pain. Method: The analytical, cross-sectional study was conducted from January to March 2019 at the Sindh Institute of Physical Medicine and Rehabilitation, Karachi, and comprised healthy adults with no neck pain in the preceding 6 months in Group A, and adults of either gender with chronic non-specific neck pain for >3 months in Group B. The two groups were further divided into age groups 21-30 years, 31-40 years and 41-50 years. A cervical range of motion device was used to measure the range of flexion, extension, right and left lateral flexion and right and left rotation of all the subjects. The measurements were taken by a single tester on day-1 and day-3 to assess the intrarater reliability. Data was analysed using SPSS 26. Results: Of the 60 subjects, there were 30(50%) in each of the two groups. Within the groups, there were 10(33.3%) subjects in each of the 3 age subgroups. Overall, there were 27(45%) males and 33(55%) females. In Group A, the intraclass correlation coefficient values for all cervical ranges were between 0.81 and 0.99, whereas in Group B, the values ranged from 0.64 to 0.88. The intraclass correlation coefficient values yielded good to excellent agreement in both groups (>0.75) except for left lateral flexion in Group B (p=0.64), and all the values were statistically significant (p

Introduction Plantar fasciitis (PF) is a common foot problem caused by repetitive microtrauma or excessive overload of fascia. Instrument-assisted soft tissue mobilization (IASTM), stretching, and strengthening exercises are more helpful to reduce the pressure of fascia and improve functional activities of the patients. The objective of the study was to compare the efficacy of instrument assisted soft tissue mobilization using the Ergon technique with conservative treatment in plantar fasciitis. Methods This randomized control trial was conducted at the Department of Physiotherapy of the University of Lahore Teaching Hospital and Citi Hospital Lahore. After assigning, the patients were randomly allocated into treatment and conventional groups. Both groups received therapeutic ultrasound therapy, stretching strengthening exercises, cryotherapy and the experimental group received additional instrument-assisted soft tissue mobilization. Pain, strength, and range of motion were assessed at baseline, 1st, 3rd, and 5th week after treatment. Results 64 participants were randomly allocated into two groups; the Ergon group (ET = 32) and the conventional group (CT = 32). The mean age in the ET group was 29.1 ± 6.0 and in the CT group was 29.5 ± 6.0 and the gender distribution of the study population was 28.1% were male and 71.9% were females. There was significant improvement ( p < 0.05) in pain, strength, and plantarflexion range of motion among all participants in the treatment group. However, no significant improvement was noticed in the dorsiflexion range ( p > 0.05). While within-group analysis showed improvement in the dorsiflexion range of both groups ( p < 0.05). Conclusions This randomized control trial demonstrates that the inclusion of instrument-assisted soft tissue mobilization using the Ergon Technique for plantar fasciitis lasting 5 weeks is an effective treatment intervention in reducing pain and improving strength and ankle range of motion.

Mycobacterium tuberculosis, a highly perilous pathogen in humans, serves as the causative agent of tuberculosis (TB), affecting nearly 33% of the global population. With the increasing prevalence of multidrug-resistant TB, there is a need for novel and efficacious alternative therapies. Peptide therapies have emerged as a favorable alternative due to their remarkable specificity in targeting cells without affecting healthy cells. However, the experimental identification methods of anti-tubercular peptides (AtbPs) are labor-intensive and costly. Therefore, accurate prediction of AtbPs has become challenging due to the large number of peptide samples. In this paper, we propose an ensemble learning model to enhance the prediction outcomes by addressing the limitations of individual learning models. We formulate the training samples by utilizing four distinct representation methods: AAindex, Composition/Transition/Distribution, Dipeptide Deviation from Expected Mean, and Enhanced Grouped Amino Acid Composition to numerically encode peptide samples. The feature vectors extracted from these methods are fused to develop a compact vector. We evaluate the prediction rates using three different classification models, employing both individual and heterogeneous vectors. Furthermore, we enhance the prediction and training capabilities of the proposed model by using the predicted labels of the individual classifiers for implementing an ensemble deep model via a genetic algorithm. Through evaluation of both the training datasets and independent datasets, our proposed ensemble learner achieves impressive accuracies of 97.80%, 95.13%, 93.91%, and 94.17%, using RD training, MD training, RD independent, and MD independent datasets, respectively. Our findings demonstrate that the proposed pAtbP-EnC model outperforms existing predictors by reporting approximately 11% higher training accuracy. We conclude that the pAtbP-EnC predictor will be a considerable tool in the field of pharmaceutical design and research academia. The used datasets and the source code are publicly available at https://github.com/Intelligent-models/pAtbP-EnC2023.

This study explores the implementation of advanced machine learning techniques to enhance the integration of renewable energy into smart grids, focusing specifically on predicting solar power generation for the upcoming year. Three distinct machine learning models are employed: the Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Memory (Bi-LSTM) and a hybrid model that combines Autoencoder and Long Short-Term Memory (AE-LSTM). Using real-time solar power production data spanning a year, these models are trained and evaluated using mean absolute error (MAE) and mean squared error (MSE) as performance metrics. Results highlight the superior accuracy of the hybrid AE-LSTM model compared to the LSTM model as well as Bi-LSTM model, attributed to its capability to capture intricate temporal patterns and correlations within the data. This research underscores the significant potential of machine learning techniques, particularly the hybrid AE-LSTM approach, in facilitating the seamless integration of renewable energy resources into smart grids, contributing to more efficient and environmentally conscious power systems. Furthermore, a comprehensive analysis reveals the hybrid AE-LSTM model’s capacity to produce superior predictions due to its additional training, solidifying its advantage over models solely reliant on the other model’s architecture. In summary, this study demonstrates the effectiveness of advanced machine learning methodologies in revolutionizing renewable energy integration, with the hybrid AE-LSTM model standing out as a promising avenue for enhanced prediction accuracy.

Neuropeptides (NPs) are a kind of neuromodulator/ neurotransmitter that works as signaling molecules in the central nervous system, and perform major roles in physiological and hormone regulation activities. Recently, machine learning-based therapeutic agents have gained the attention of researchers due to their high and reliable prediction results. However, the unsatisfactory performance of the existing predictors is due to their high execution cost and minimum predictive results. Therefore, the development of a reliable prediction is highly indispensable for scientists to effectively predict NPs. In this study, we presented an automatic and computationally effective model for identifying of NPs. The evolutionary information is formulated using a bigram position-specific scoring matrix (Bi-PSSM) and K-spaced bigram (KSB). Moreover, for noise reduction, a discrete wavelet transform (DWT) is utilized to form Bi-PSSM_DWT and KSB_DWT based high discriminative vectors. In addition, one-hot encoding is also employed to collect sequential features from peptide samples. Finally, a multi-perspective feature set of sequential and embedded evolutionary information is formed. The optimum features are chosen from the extracted features via Shapley Additive exPlanations (SHAP) by evaluating the contribution of the extracted features. The optimal features are trained via six classification models i.e., XGB, ETC, SVM, ADA, FKNN, and LGBM. The predicted labels of these learners are then provided to a genetic algorithm to form an ensemble classification approach. Hence, our model achieved a higher predictive accuracy of 94.47% and 92.55% using training sequences and independent sequences, respectively. Which is $\sim $ 3% highest predictive accuracy than present methods. It is suggested that our presented tool will be beneficial and may execute a substantial role in drug development and research academia. The source code and all datasets are publicly available at https://github.com/shahidawkum/Target-ensC_NP.