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Background: Hallucinations, including both auditory and visual forms, are often associated with alterations in brain structure, particularly in specific language-related cortical areas. Existing models propose different frameworks for understanding the relationship between brain volume and hallucination proneness, but practical evidence supporting these models is limited. Methods: This study investigated the relationship between hallucination proneness and brain volume in language-related cortical regions, specifically the superior temporal gyrus and Broca's area. A total of 68 participants, primarily university students, completed the Launay-Slade Hallucination Scale (LSHS) to assess hallucination proneness for both auditory and visual experiences. Structural MRI scans were used to measure brain volume in the targeted regions. Results: The results indicated significant positive correlations between LSHS scores and brain volume in the superior temporal gyrus and Broca's area regions previously linked to volume reductions in patients with clinically diagnosed hallucinations. Participants reporting high hallucination proneness for both auditory and visual hallucinations exhibited higher brain volumes in these language areas compared to those experiencing hallucinations rarely or never. Conclusions: These findings challenge existing models by suggesting that higher brain volumes in language-related cortical areas may be associated with increased proneness to both auditory and visual hallucinations in non-clinical populations. This contrasts with the volume reductions seen in patients with clinical hallucinations and highlights the need for further research into the complex interplay between brain structure and hallucinatory experiences.

Numerous neurodegenerative diseases result from altered ion channel function and mutations. The intracellular redox status can significantly alter the gating characteristics of ion channels. Abundant neurodegenerative diseases associated with oxidative stress have been documented, including Parkinson’s, Alzheimer’s, spinocerebellar ataxia, amyotrophic lateral sclerosis, and Huntington’s disease. Reactive oxygen and nitrogen species compounds trigger posttranslational alterations that target specific sites within the subunits responsible for channel assembly. These alterations include the adjustment of cysteine residues through redox reactions induced by reactive oxygen species (ROS), nitration, and S-nitrosylation assisted by nitric oxide of tyrosine residues through peroxynitrite. Several ion channels have been directly investigated for their functional responses to oxidizing agents and oxidative stress. This review primarily explores the relationship and potential links between oxidative stress and ion channels in neurodegenerative conditions, such as cerebellar ataxias and Parkinson’s disease. The potential correlation between oxidative stress and ion channels could hold promise for developing innovative therapies for common neurodegenerative diseases.

Background: Parkinson's disease is a multisystem condition that usually presents as a movement disorder in clinical practice. There is no objective method for its diagnosis and therefore the current diagnostic process is based on characteristic clinical signs and symptoms. As the presenting symptoms can be vague and non-specific, there is often a delay in diagnosis leading to mismanagement and delayed treatment initiation. In the UK, GPs identify and initially assess individuals with Parkinson's disease and refer them to specialists for formal diagnosis and treatment initiation. Aim: To use a scoping review to examine the available evidence on the accuracy of Parkinson's disease diagnosis in primary care and to assess the potential for GPs to make a diagnosis and initiate treatment, and hence avoid harmful delays. Design and setting: The scoping methodology as proposed by Westphaln and colleagues that is a modified version of Arksey and O'Malley's original framework was followed. All findings were reported according to PRISMA guidelines for scoping reviews. Method: Four databases (EMBASE, PubMed Central, Cochrane, and CINAHL) and references lists of relevant published literature were systematically searched for all types of literature available in English on the accuracy of Parkinsonism or Parkinson's disease diagnosis in primary care. There were no search restrictions placed on countries, type of studies, or age. Two reviewers independently screened titles and abstracts followed by full-text screening. Results: Out of 1844 studies identified, only six studies met the inclusion criteria. Five were from high-income and one from a middle-income nation. Of these, three studies identified significant knowledge gaps of GPs in diagnosing Parkinson's disease using a questionnaire-based assessment. Delay in appropriate referral because of delayed symptom identification was reported in one study. Only one study compared the accuracy of primary care Parkinson's disease diagnosis with that of specialists, and reported that, although specialists' diagnosis showed more sensitivity, GPs had higher specificity in diagnosing Parkinson's disease. However, this study was found to have methodological issues leading to bias in the findings. Conclusion: This scoping review shows that there are no well-conducted studies assessing the accuracy of Parkinson's disease diagnoses when made by GPs. This calls for more focused research in this area as diagnostic delays and errors may lead to potentially harmful but preventable delays in treatment initiation resulting in decreased quality of life for individuals with Parkinson's disease. [ABSTRACT FROM AUTHOR]

Numerous neurodegenerative diseases result from altered ion channel function and mutations. The intracellular redox status can significantly alter the gating characteristics of ion channels. Abundant neurodegenerative diseases associated with oxidative stress have been documented, including Parkinson’s, Alzheimer’s, spinocerebellar ataxia, amyotrophic lateral sclerosis, and Huntington’s disease. Reactive oxygen and nitrogen species compounds trigger posttranslational alterations that target specific sites within the subunits responsible for channel assembly. These alterations include the adjustment of cysteine residues through redox reactions induced by reactive oxygen species (ROS), nitration, and S-nitrosylation assisted by nitric oxide of tyrosine residues through peroxynitrite. Several ion channels have been directly investigated for their functional responses to oxidizing agents and oxidative stress. This review primarily explores the relationship and potential links between oxidative stress and ion channels in neurodegenerative conditions, such as cerebellar ataxias and Parkinson’s disease. The potential correlation between oxidative stress and ion channels could hold promise for developing innovative therapies for common neurodegenerative diseases. [ABSTRACT FROM AUTHOR]

The multiband, multifunctional chiral metasurface with asymmetric transmission exhibits significant potential for diverse applications in modern communication systems, ranging from enhanced signal modulation and polarization control to advanced beam steering and compact antenna design. This research presents a versatile and advanced chiral metasurface operating at multiple bands with diverse functionalities, including asymmetric transmission. The proposed metasurface effectively transforms an incoming Linearly Polarized (LP) wave into a Circularly Polarized (CP) wave. Additionally, it functions as a 90° polarization rotator for the incident LP wave. The design starts with an element of a 2 × 2 supercell comprising a Square Split Ring Resonator (SSRR) and an I-shaped resonator. The right diagonal elements of a supercell undergo scaling down, giving rise to a rotational asymmetry. Chirality is introduced into the design, and cross polarization conversion is enhanced by rotating all four elements by 90° relative to each other. On the back side of the substrate, each element undergoes a 90° rotation compared to its counterpart on the front side, realizing the asymmetric transmission feature. The incorporation of multiband and multifunctional features within a single supercell equips the subject chiral metasurface to be utilized in various engineering applications.

Abstract A variety of reasons have made it more difficult for educators and tutors to anticipate students’ performance. Numerous researchers have used various predictive models to identify students who may be at-risk of dropping out early. Additionally, these methods were used to forecast final semester grades based on various datasets. However, these prediction models still fall short of meeting educational management requirements. In this paper, we propose the deep learning (DL) based model named students academic performance prediction network (SAPPNet) to predict the students’ grades. We consider the questionnaire-based Jordan University dataset which contains demographic information, usage of digital tools before and after COVID-19, sleep times before and after COVID-19, social interaction, psychological state, and academic performance. SAPPNet consists of spatial convolution modules which are designed to extract spatial dependencies includes categorical and numerical attributes that represent static features (gender, level/year, age, digital tools used before and after COVID-19, psychological condition using prolonged e-learning tools) and temporal module for temporal dependencies involves sequences that capture changes before and after COVID-19. Additionally, we also try to implement classical machine learning (ML) models including support vector machine, k nearest neighbor, decision tree, and random forest, and DL models named artificial neural network, convolutional neural network, long short-term memory, and students learning prediction network. Simulation results show that SAPPNet achieved the best performance compared to state-of-the-art methods, with an accuracy, precision, recall, and an F1-score of $$93\%$$ 93 % . The proposed model with spatial and temporal modules improves the prediction performance, and it implies new aspect of the educational dataset.

This article provides an update on pain syndromes in Parkinson's disease (PD) for general practice. PD is a multisystem condition that affects 1%–3% of the population aged >65 years and presents with motor, neurological, psychiatric, and gastrointestinal manifestations. Pain is a common and often unrecognised symptom of PD, with a prevalence greater than age-matched controls with other chronic diseases. The main types of pain syndromes encountered in PD are central pain, peripheral pain, musculoskeletal pain, and pain due to dystonia and akathisia. The article emphasizes the importance of non-pharmacological approaches to pain management, such as a balanced diet, exercise therapy, and alternative therapies. Pharmacological options for pain management include non-steroidal anti-inflammatory drugs, tricyclic antidepressants, and opioid analgesics. The article also provides specific treatment options for different types of pain syndromes. Overall, the article highlights the need for accurate recognition and appropriate treatment of pain in PD to improve quality of life for patients. [Extracted from the article]

Extensive research into platinum-based chemotherapeutics has been underway for decades with ruthenium-based complexes emerging as interesting and potent candidates. Even still, there is no evidence of a single mechanism of action across all synthesized and tested Ru-based complexes, prompting the continuance of research in this field. In addition, the mechanism of action varies according to cell line and/or animal model and is seemingly highly individualized and personalized. In accordance with this, the ruthenium complexes are able to activate specific molecular pathways and interact with certain targets within the cell, sometimes reported simultaneously. In this review, we attempt to give a new perspective on ruthenium complexes’ anti-cancer properties and organize selected results from the past 15 years of research connecting their structure with the reported mechanism of action. These results corroborate the previously reported great potential that ruthenium complexes have on cancer in vitro. In addition, the review provides insight into Ru drugs in their clinical trials and their efficacy against cancer including a historical context on metallodrugs, particularly platinum-based complexes, and their antitumor capability.

Chondrosarcomas of the larynx are rare, mainly arising from cartilages of the larynx, including cricoid cartilage, thyroid cartilage epiglottis, and arytenoid cartilages. These can be misdiagnosed initially as benign malignancy. Historically, the treatment used to be surgery, which usually is total thyroidectomy with a loss of voice forever. No gross improvements in treatment occurred, and surgery was the mainstay of the treatment. Chondrosarcoma from other anatomical regions can very rarely cause thyroid metastasis. Here, we present a case of an elderly male who presented with a multinodular goiter and underwent thyroidectomy. On histopathology, he was diagnosed with grade 2, conventional chondrosarcoma.

The demand for reconfigurable devices for emerging RF and microwave applications has been growing in recent years, with additive manufacturing and photonic thermal treatment presenting new possibilities to supplement conventional fabrication processes to meet this demand. In this paper, we present the realization and analysis of barium–strontium–titanate-(Ba0.5Sr0.5TiO3)-based ferroelectric variable capacitors (varactors), which are additively deposited on top of conventionally fabricated interdigitated capacitors and enhanced by photonic thermal processing. The ferroelectric solution with suspended BST nanoparticles is deposited on the device using an ambient spray pyrolysis method and is sintered at low temperatures using photonic thermal processing by leveraging the high surface-to-volume ratio of the BST nanoparticles. The deposited film is qualitatively characterized using SEM imaging and XRD measurements, while the varactor devices are quantitatively characterized by using high-frequency RF measurements from 300 MHz to 10 GHz under an applied DC bias voltage ranging from 0 V to 50 V. We observe a maximum tunability of 60.6% at 1 GHz under an applied electric field of 25 kV/mm (25 V/μm). These results show promise for the implementation of photonic thermal processing and additive manufacturing as a means to integrate reconfigurable ferroelectric varactors in flexible electronics or tightly packaged on-chip applications, where a limited thermal budget hinders the conventional thermal processing.

The intricate nanostructured surface of black silicon (BSi) has advanced photodetector technology by enhancing light absorption. Herein, we delve into the latest advancements in BSi surface modification techniques, specifically focusing on their profound impact on light trapping and resultant photodetector performance improvement. Established methods such as metal-assisted chemical etching, electrochemical etching, reactive ion etching, plasma etching, and laser ablation are comprehensively analyzed, delving into their mechanisms and highlighting their respective advantages and limitations. We also explore the impact of BSi on the emerging applications in silicon (Si)-based photodetectors, showcasing their potential for pushing the boundaries of light-trapping efficiency. Throughout this review, we critically evaluate the trade-offs between fabrication complexity and performance enhancement, providing valuable insights for future development in this rapidly evolving field. This knowledge on the BSi surface modification and its applications in photodetectors can play a crucial role in future implementations to substantially boost light trapping and the performance of Si-based optical detection devices consequently.

Photocatalytic reduction of carbon dioxide (CO2) presents a pivotal solution to address meteorological and ecological challenges. Currently, metal-organic frameworks (MOFs) with their crystalline porosity, adjustable structures, and diverse chemical functionalities have garnered significant attention in the realm of photocatalytic CO2 reduction. This review provides a brief introduction to CO2 reduction and MOF material and their applications in CO2 reduction. Then, it undertakes a comprehensive examination of MOFs, summarizing their key attributes, including porosity, large surface area, structural multifunctionalities, and responsiveness to visible light, along with an analysis of heterojunctions and their methods of preparation. Additionally, it elucidates the fundamental principle of photocatalysis and CO2 reduction, encompassing both half and overall reactions. Furthermore, the classification of MOF-based materials is explored, along with the proposed mechanism for CO2 reduction and an update on recent developments in this field. Finally, this review outlines the challenges and potential opportunities for utilizing MOFs in CO2 reduction, offering valuable insights to scholars seeking innovative approaches not only to enhance CO2 reduction but also to advance other photocatalytic processes.

Background: Dengue is a mosquito borne disease with worldwide distribution which has become endemic in certain regions of Pakistan and has given rise to a few epidemics. Infection with the Dengue virus can manifest itself as a severe, non-fatal viral syndrome or a rapidly progressive and a commonly fatal hemorrhagic fever. This study was conducted to investigate the prevalence of Dengue fever in the urban region of Karachi, Pakistan. Methods: This retrospective, cross-sectional study was conducted at the Ziauddin Hospital System comprising of three hospitals catering to various socio- economic strata of the society. 823 samples were collected from the hematology and microbiology department of the hospital and the Dengue NS 1 antigen ELISA test was performed. Patients of all age and both genders were included. Results: 823 patients were included in this study, out of which 32.1% (264) were found to have sera positive for Dengue IgM. Division according to sex demonstrated a predominance of males at 70.8% (n=177) while affected females accounted for 29.2% (n= 77). The most susceptible age group was found to be 30-39 years of age. Conclusion: The inhabitants of Karachi face a high probability of contracting this disease due to the unsanitary living conditions and lack of basic amenities .This study has shown the prevalence of Dengue to be higher in Karachi than in other cities of Pakistan, therefore effectual methods of prevention and control are the need of the hour. Key Words: Dengue fever, prevalence, NS1 antigen, Pakistan

Background: Discovery of hepcidin, and its receptor in year 2000 has revolutionized iron metabolism studies. Measurement of serum hepcidin, may supplement existing investigational parameters of iron status in anemias. The aim of the study is to estimate baseline hepcidin level and evaluate it as a predictor of response after treatment of iron deficiency anemic with oral iron. Methods: This was a purposive follow up study; involving 102 patients aged 18 years and above selected from medical outpatient departments of a tertiary care hospital of Karachi. Baseline CBC, iron studies, and serum hepcidin-25 were measured. Patients of IDA were treated with oral ferrous sulphate 200mg thrice daily for 8 weeks. Repeat CBC on follow up visit assessed response, defined as increment in hemoglobin level by >1gm/dl post treatment. Logistic regression analysis was applied and receiver operating characteristics curves were plotted to find utility and identify hepcidin cutoff values as a predictor for response. Results: Mean baseline serum hepcidin-25 was 37.34±22.60 ng/mL. Regression models showed for every one unit increase of hepcidin, the odds of hemoglobin improvement decreased by (1-0.972)=0.028gm/dl, serum hepcidin-25 by itself significantly predicted improvement in hemoglobin level P=

Abstract Industrialization and extensive use of automobiles cause air pollution which indicates the inability of trees plants due to changes in their biochemical and physiological processes for absorbing the air pollutants. Air Pollution Tolerance Index (APTI) is an important indicator for determining the ability of trees plants for their efficient ability for controlling air pollution. To estimate it and its effects a comparitive study of the air pollution tolerance index was examined in 14 species of plants between residential areas (University of the Punjab) and roadside areas (orange train line). To calculate the APTI value, four physiological and biochemical parameters—ascorbic acid, relative water content (RWC), pH, and chlorophyll concentration of leaf samples—were integrated. Present study results reveal that the plant tolerance against pollution is site specific, and that integrating a number of biochemical parameters give more accurate results as compared to single. Results show that Alstonia scholaris show maximum and Magnifera indica show minimum APTI values in residential areas while Magnifera indica shows maximum and Bougainvillea glabra shows minimum APTI value in roadside areas. Present study results show that plants with higher APTI values are tolerant of pollution, whereas those with lower APTI values are susceptible to it. Thus Plants with more APTI values are tolerant and use as a sink to control pollution in urban and industrial sites.

This study investigates a hybrid microelectromechanical system (MEMS) acoustic resonator through a hybrid approach to combine capacitive and piezoelectric transduction mechanisms, thus harnessing the advantages of both transducer technologies within a single device. By seamlessly integrating both piezoelectric and capacitive transducers, the newly designed hybrid resonators mitigate the limitations of capacitive and piezoelectric resonators. The unique hybrid configuration holds promise to significantly enhance overall device performance, particularly in terms of quality factor (Q-factor), insertion loss, and motional impedance. Moreover, the dual-transduction approach improves the signal-to-noise ratio and reduces feedthrough noise levels at higher frequencies. In this paper, the detailed design, complex fabrication processes, and thorough experimental validation are presented, demonstrating substantial performance enhancement potentials. A hybrid disk resonator with a single side-supporting anchor achieved an outstanding loaded Q-factor higher than 28,000 when operating under a capacitive drive and piezoelectric sense configuration. This is comparably higher than the measured Q-factor of 7600 for another disk resonator with two side-supporting anchors. The hybrid resonator exhibits a high Q-factor at its resonance frequency at 20 MHz, representing 2-fold improvement over the highest reported Q-factor for similar MEMS resonators in the literature. Also, the dual-transduction approach resulted in a more than 30 dB improvement in feedthrough suppression for devices with a 500 nm-thick ZnO layer, while hybrid resonators with a thicker piezoelectric layer of 1300 nm realized an even greater feedthrough suppression of more than 50 dB. The hybrid resonator integration strategy discussed offers an innovative solution for current and future advanced RF front-end applications, providing a versatile platform for future innovations in on-chip resonator technology. This work has the potential to lead to advancements in MEMS resonator technology, facilitating some significant improvements in multi-frequency and frequency agile RF applications through the original designs equipped with integrated capacitive and piezoelectric transduction mechanisms. The hybrid design also results in remarkable performance metrics, making it an ideal candidate for integrating next-generation wireless communication devices where size, cost, and energy efficiency are critical.

The non-invasive brain sensing modulation technology field is experiencing rapid development, with new techniques constantly emerging. This study delves into the field of non-invasive brain neuromodulation, a safer and potentially effective approach for treating a spectrum of neurological and psychiatric disorders. Unlike traditional deep brain stimulation (DBS) surgery, non-invasive techniques employ ultrasound, electrical currents, and electromagnetic field stimulation to stimulate the brain from outside the skull, thereby eliminating surgery risks and enhancing patient comfort. This study explores the mechanisms of various modalities, including transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (TMS), highlighting their potential to address chronic pain, anxiety, Parkinson’s disease, and depression. We also probe into the concept of closed-loop neuromodulation, which personalizes stimulation based on real-time brain activity. While we acknowledge the limitations of current technologies, our study concludes by proposing future research avenues to advance this rapidly evolving field with its immense potential to revolutionize neurological and psychiatric care and lay the foundation for the continuing advancement of innovative non-invasive brain sensing technologies.

Abstract In the technologically changing world, the demand for ultra‐reliable, faster, low power, and secure communication has significantly risen in recent years. Researchers have shown immense interest in emerging quantum computing (QC) due to its potentials of solving the computing complexity in the robust and efficient manner. It is envisioned that QC can act as critical enablers and strong catalysts to considerably reduce the computing complexities and boost the future of sixth generation (6G) and beyond communication systems in terms of their security. In this study, the fundamentals of QC, the evolution of quantum communication that encompasses a wide spectrum of technologies and applications and quantum key distribution, which is one of the most promising applications of quantum security, have been presented. Furthermore, various parameters and important techniques are also investigated to optimise the performance of 6G communication in terms of their security, computing, and communication efficiency. Towards the end, potential challenges that QC and quantum communication may face in 6G have been highlighted along with future directions.

Background/Aims Colonoscopy for screening is associated with unpleasant experiences for patients, and abdominal compression devices have been developed to minimize these problems. However, there is a paucity of data supporting the therapeutic benefits of this strategy. This study examined the effects of using an abdominal compression device during colonoscopy on the cecal intubation time (CIT), abdominal compression, patient comfort, and postural changes. Methods We searched PubMed and Scopus (from inception to November 2021) for randomized controlled trials that assessed the effects of an abdominal compression device during colonoscopy on CIT, abdominal compression, patient comfort, and postural change. A random-effects meta-analysis was performed. Weighted mean differences (WMDs) and Mantel-Haenszel odds ratios (ORs) were calculated. Results Our pooled analysis of seven randomized controlled trials revealed that abdominal compression devices significantly reduced CIT (WMD, –0.76 [–1.49 to –0.03] minutes; p=0.04), abdominal compression (OR, 0.52; 95% confidence interval [CI], 0.28–0.94; p=0.03), and postural changes (OR, 0.46; 95% CI, 0.27–0.78; p=0.004) during colonoscopy. However, our results did not show a significant change in patient comfort (WMD, –0.48; 95% CI, –1.05 to 0.08; p=0.09) when using an abdominal compression device. Conclusions Our findings demonstrate that employing an abdominal compression device may reduce CIT, abdominal compression, and postural change but have no impact on patient comfort.

Three new neutral complexes of copper(II) containing chalcone ligands derived from 2'-hydoxyacetophenone and 4-substituted benzaldehydes were synthesized. Complexes were prepared by solution synthesis and characterized by spectroscopy. The catalytic activity of complexes was examined in the reaction of 3,5-di-tertbutylcatehcol (DTBC) oxidation. The kinetics of DTBC catalytic oxidation by copper(II) complexes (1 – 3) was investigated spectrophotometrically under pseudo-first-order conditions. Catalytic parameters, the maximum reaction rate (vmax), Michaelis-Menten constant (KM), catalytic efficiency, catalytic reaction rate constant (kcat), turnover number (TON), and turnover frequencies (TOF) for complexes 1 – 3 in DTBC oxidation were collected. The studied complexes 1 and 2 were found to have moderate catalytic activity, while complex 3 does not show catalytic properties.

Objectives: To determine the efficacy and toxicity of palliative radiotherapy for locally advanced breast cancer patients with skin invasion. Study Design: Quasi-experimental study. Place and Duration of Study: Radiotherapy Department Combined Military Hospital, Rawalpindi Pakistan, Jan 2019 to Jun 2020. Methodology: Patients who received palliative radiotherapy for the breast cancer and received radiation of 24 Gray in 3 fractions to the breast/ chest wall were included. Radiation toxicity was assessed using RTOG criteria as the primary outcome of the study. Radiotherapy efficacy in controlling bleeding/discharge and improving pain and odour scores were the secondary outcomes. Results: Twelve (80%) patients reported improvement in pain, 13/18(72.2) patients reported improvement in bleeding and 24/25 (96%) patients a decrease in pain level (p-value < 0.001). 11/25(44%) developed Grade-2 skin toxicity, and 8/25 (32%) developed Grade-3 skin toxicity. No patient experienced Grade-4 skin toxicity. Conclusion: Our study has shown that hypofractionated radiotherapy is effective and safe for palliation of patients with locally advanced breast cancer and skin invasion.

Considering the ongoing climate transformations, the appropriate and reliable phenotyping information of plant leaves is quite significant for early detection of disease, yield improvement. In real-life digital agricultural environment, the real-time prediction and identification of living plants leaves has immensely grown in recent years. Hence, cost-effective and automated and timely detection of plans species is vital for sustainable agriculture. This paper presents a novel, non-invasive method aiming to establish a feasible, and viable technique for the precise identification and observation of altering behaviour of plants species at cellular level for four consecutive days by integrating machine learning (ML) and THz with a swissto12 materials characterization kit (MCK) in the frequency range of 0.75 to 1.1 THz. For this purpose, measurements observations data of seven various living plants leaves were determined and incorporate three different ML algorithms such as random forest (RF), support vector machine, (SVM), and K-nearest neighbour (KNN). The results demonstrated that RF exhibited higher accuracy of 98.87% followed by KNN and SVM with an accuracy of 94.64% and 89.67%, respectively, for precise detection of different leaves by observing their morphological features. In addition, RF outperformed other classifiers for determination of water-stressed leaves and having an accuracy of 99.42%. It is envisioned that proposed study can be proven beneficial and vital in digital agriculture technology for the timely detection of plants species to significantly help in mitigate yield and economic losses and improve crops quality.

Gastric, esophageal and gastro-esophageal junction cancers are associated with inferior outcomes. For early-stage disease, perioperative chemotherapy or chemoradiation followed by surgery is the standard treatment. For most patients with advanced upper gastrointestinal tract cancers, platinum-based chemotherapy remains a standard treatment. Recently, several randomized clinical trials have demonstrated the benefit of immunotherapy involving checkpoint inhibitors alone or in combination with chemotherapy in patients with gastro-esophageal cancer and have changed the treatment landscape. The Western Canadian Gastrointestinal Cancer Consensus Conference (WCGCCC), involving experts from four Western Canadian provinces, convened virtually on 16 June 2021 and developed the recommendations on the role of immunotherapy in patients with gastro-esophageal cancer.

The Western Canadian Gastrointestinal Cancer Consensus Conference (WCGCCC) convened virtually on 4 November 2021. The WCGCCC is an interactive multi-disciplinary conference attended by health care professionals, including surgical, medical, and radiation oncologists; pathologists; radiologists; and allied health care professionals from across four Western Canadian provinces, British Columbia, Alberta, Saskatchewan, and Manitoba, who are involved in the care of patients with gastrointestinal cancer. They participated in presentation and discussion sessions for the purpose of developing recommendations on the role of systemic therapy and its optimal sequence in patients with resectable metastatic colorectal cancer.

An educational session related to the Western Canadian Gastrointestinal Cancer Consensus Conference (WCGCCC) was held virtually on 14 October 2020. The WCGCCC is an interactive multidisciplinary conference attended by health care professionals from across Western Canada (British Columbia, Alberta, Saskatchewan, and Manitoba), who are involved in the care of patients with gastrointestinal cancer. Surgical, medical, and radiation oncologists; pathologists, radiologists, and allied health care professionals participated in presentation and discussion sessions for the purpose of developing the recommendations presented here. This consensus statement addresses current issues in the management of total neoadjuvant therapy in rectal cancer.

Several mechanisms are responsible for regulating the process of aging. A rise in reactive oxygen species (ROS) and oxidative stress is usually linked to the development of age-related diseases. Evidence indicates that prolonged oxidative stress can predispose to frequent diseases such as chronic inflammation, cancer and heart diseases. Polyphenols are naturally occurring substances found in numerous fruits, vegetables, cereals, etc. They considered as one of the most abundant and widely distributed secondary metabolites of the plant kingdom. Long-term consumption of polyphenol-rich diets was confirmed for protection from as shown by earlier. Additionally, polyphenol-rich foods and beverages offer protection against certain chronic diseases, particularly type 2 diabetes and heart disease. Certain polyphenols, such as quercetin, have anti-inflammatory properties and they were also associated with lower levels of biomarkers of muscle injury and inflammation. Flavonoids were shown to slow memory problems and the progression of Alzheimer’s disease. Antioxidants such as plant polyphenols have been proposed for cancer prevention and/or treatment. Dietary benefits are attributed in part to polyphenols, which have antitumor properties in both animal models and humans. Resveratrol (RV), a polyphenol found in blueberries, cranberries, wine almonds, and red grapes, has anti-inflammatory and anti-cancer properties and was shown to reduce cancer cell glycolytic metabolism and reduce intracellular ROS levels.

Based on people’s enthusiasm for swimming and their pursuit of swimming skill at a higher level, this paper proposes a non-contact motion guidance system based on optical motion capture technology, which aims to improve their swimming technique conveniently, scientifically and quickly. The swimming actions can be captured using one smartphone underwater, and the app on the phone will process the video and give suggestions based on the reference postures derived from statistics of professional swimmers for improvement of the swimming performance. In this system, the Canny operator was applied to detect the edge of the image captured from the swimming video, and the Hough line was implemented to recognize and locate the key position information which refers to the angle between knee and hip joints, and the angle between the trunk and horizontal plane. Furthermore, by comparing the key position information with the data of standard swimming, improvement measures can be given to improve the swimming skills of swimmers. As the result of the experiments, the system can accurately capture the swimmer’s movement state, locate the incorrect posture of the swimmer, and provide the corrective information in real-time. Although the paper only took breaststroke as an example, the proposed method can be extended to the other swimming styles.

Jejunal diverticula, like other intestinal diverticula, can become complicated and present as acute abdomen. Diagnosis is difficult and management in complicated cases can be surgical as well as conservative. We present two cases of complicated jejunal diverticulosis that presented with acute abdomen and were managed surgically. Post-operative recovery was satisfactory. Jejunal diverticula is a diagnostic challenge in a low-resource peripheral hospital. Keywords: Jejunal diverticula, Perforation, Low-resource hospital, Diverticulitis.

Recent advancements in radio frequency (RF) sensing technology can be attributed to the development of the Internet of Things (IoT), healthcare, RF-identification, and communication applications. RF sensing is a multidisciplinary research field that requires expertise in computing, electronics, and electromagnetics to cover all system features, including protocol development, antenna design, sensor integration, algorithm formulation, interconnection, data, and analytics. The overarching aim of this work is to present detailed information about RF technologies and their innovations and application diversity from the novel work carried out at CSI Lab 1, together in one platform with an extensive survey. This study presents state-of-the art applications and RF sensing that include W-Fi, radar, and SDR and RFID-based sensing. A comprehensive survey and study of the advantages and limitations of each non-contact technology is discussed. Additionally, open research gaps have been identified as well. Decades of knowledge and experience have been put to use to meet new challenges and demands. The development and study of RF systems, IoT, RFID sensing, and research and deployment activities, are briefly discussed. The emerging research projects with industry, institutional research centers, and academic studies are also addressed. Finally, an outline of identified potential future research areas is provided, emphasizing opportunities and challenges.

High motional resistance and incompatibility with post-CMOS fabrication due to thermal budget constraints are imperative issues associated with the back-end-of-line integration of lateral extensional vibrating micromechanical resonators. This paper presents piezoelectric ZnO-on-nickel resonators as a viable means for mitigating both of the issues. Lateral extensional mode resonators equipped with thin-film piezoelectric transducers can exhibit much lower motional impedances than their capacitive counterparts due to piezo-transducers’ higher electromechanical coupling coefficients. Meanwhile, the employment of electroplated nickel as the structural material allows the process temperature to be kept lower than 300 °C, which is low enough for the post-CMOS resonator fabrication. In this work, various geometrical rectangular and square plates resonators are investigated. Moreover, parallel combination of several resonators into a mechanically coupled array was explored as a systematic approach to lower motional resistance from ~1 kΩs to 0.562 kΩs. Higher order modes were investigated for achieving higher resonance frequencies up to 1.57 GHz. Local annealing by Joule heating was also exploited for quality factor improvement after device fabrication by ~2× enhancement and breaking the record of MEMS electroplated nickel resonators in lowering insertion loss to ~10 dB.

عرف الباحثان و في العام 2018 نمطاً جديداً من المجموعات المفتوحة في الفضاء ثنائي التبولوجيا و هي المجموعات المفتوحة من النمط ، و عرفا داخلية و لصاقة مجموعة وفق هذا النمط من المجموعات . سنقدم في هذا البحث مفاهيم تبولوجية جديدة في الفضاءات ثنائية التبولوجيا وفق مفهوم المجموعات المفتوحة من النمط مثل مجاورة و لصاقة و خارجية و جبهية و مشتقة مجموعة من النمط و دراسة أهم الخواص و العلاقات التي تحققها هذه المفاهيم في الفضاءات ثنائية التبولوجيا.

By 2050, experts estimate that the agricultural produce must increase by 60%–70% to meet the needs of the ever increasing population of the world. To this aim, the concept of precision agriculture or smart farming has recently been coined. The idea of precision agriculture is well represented as a smart management system, having the ability to monitor, observe, sense, measure and control the health and water contents in plants at nano-scale and crops at macro-scale. The goal is to maximise the production while preserving the vital resources. The combination of terahertz (THz) based sensing technology to estimate plant health at a cellular level, and wireless sensor networks deployed within crops to monitor different variables while making intelligent decisions is far reaching. The integration and operation of such a macro-nano-sensor system requires a sustainable communication infrastructure that considers the demands of remote and agile agricultural environments. In this paper, an integrated sensing and communication system for plant health monitoring that utilises THz signals, is presented as a 6G use case. The joint architecture is outlined and various challenges including energy harvesting, practical implementation among others, followed by recommendations for future research are presented.

Aiming at the self-association feature of the Hopfield neural network, we can reduce the need for extensive sensor training samples during human behavior recognition. For a training algorithm to obtain a general activity feature template with only one time data preprocessing, this work proposes a data preprocessing framework that is suitable for neuromorphic computing. Based on the preprocessing method of the construction matrix and feature extraction, we achieved simplification and improvement in the classification of output of the Hopfield neuromorphic algorithm. We assigned different samples to neurons by constructing a feature matrix, which changed the weights of different categories to classify sensor data. Meanwhile, the preprocessing realizes the sensor data fusion process, which helps improve the classification accuracy and avoids falling into the local optimal value caused by single sensor data. Experimental results show that the framework has high classification accuracy with necessary robustness. Using the proposed method, the classification and recognition accuracy of the Hopfield neuromorphic algorithm on the three classes of human activities is 96.3%. Compared with traditional machine learning algorithms, the proposed framework only requires learning samples once to get the feature matrix for human activities, complementing the limited sample databases while improving the classification accuracy.

BackgroundThe current study aimed to determine the association between timing and completion of adjuvant chemotherapy and outcomes in real-world patients with early-stage pancreatic cancer.MethodsIn this multi-center cohort study patients with early-stage pancreatic cancer who were diagnosed from 2007-2017 and underwent complete resection in the province of Saskatchewan were examined. Cox proportional multivariate analyses were performed for correlation with recurrence and survival.ResultsOf 168 patients, 71 eligible patients with median age of 69 years and M:F of 37:34 were identified. Median time to the start of adjuvant therapy from surgery was 73 days. Of all patients, 49 (69%) patients completed adjuvant chemotherapy and 22 (31%) required early treatment discontinuation. Median recurrence-free survival of patients who completed treatment was 22 months (95%CI:15.8-28.2) vs. 9 months (3.3-14.7) if treatment was discontinued early (PConclusionsEarly discontinuation but not the timing of adjuvant chemotherapy correlates with inferior outcomes.

Imagining recognition of behaviors from video sequences for a machine is full of challenges but meaningful. This work aims to predict students’ behavior in an experimental class, which relies on the symmetry idea from reality to annotated reality centered on the feature space. A heteromorphic ensemble algorithm is proposed to make the obtained features more aggregated and reduce the computational burden. Namely, the deep learning models are improved to obtain feature vectors representing gestures from video frames and the classification algorithm is optimized for behavior recognition. So, the symmetric idea is realized by decomposing the task into three schemas including hand detection and cropping, hand joints feature extraction, and gesture classification. Firstly, a new detector method named YOLOv4-specific tiny detection (STD) is proposed by reconstituting the YOLOv4-tiny model, which could produce two outputs with some attention mechanism leveraging context information. Secondly, the efficient pyramid squeeze attention (EPSA) net is integrated into EvoNorm-S0 and the spatial pyramid pool (SPP) layer to obtain the hand joint position information. Lastly, the D–S theory is used to fuse two classifiers, support vector machine (SVM) and random forest (RF), to produce a mixed classifier named S–R. Eventually, the synergetic effects of our algorithm are shown by experiments on self-created datasets with a high average recognition accuracy of 89.6%.

Syphilis, a sexually transmitted infection, is a deadly disease caused by Treponema pallidum. It is a Gram-negative spirochete that can infect nearly every organ of the human body. It can be transmitted both sexually and perinatally. Since syphilis is the second most fatal sexually transmitted disease after AIDS, an efficient vaccine candidate is needed to establish long-term protection against infections by T. pallidum. This study used reverse-vaccinology-based immunoinformatic pathway subtractive proteomics to find the best antigenic proteins for multi-epitope vaccine production. Six essential virulent and antigenic proteins were identified, including the membrane lipoprotein TpN32 (UniProt ID: O07950), DNA translocase FtsK (UniProt ID: O83964), Protein Soj homolog (UniProt ID: O83296), site-determining protein (UniProt ID: F7IVD2), ABC transporter, ATP-binding protein (UniProt ID: O83930), and Sugar ABC superfamily ATP-binding cassette transporter, ABC protein (UniProt ID: O83782). We found that the multiepitope subunit vaccine consisting of 4 CTL, 4 HTL, and 11 B-cell epitopes mixed with the adjuvant TLR-2 agonist ESAT6 has potent antigenic characteristics and does not induce an allergic response. Before being docked at Toll-like receptors 2 and 4, the developed vaccine was modeled, improved, and validated. Docking studies revealed significant binding interactions, whereas molecular dynamics simulations demonstrated its stability. Furthermore, the immune system simulation indicated significant and long-lasting immunological responses. The vaccine was then reverse-transcribed into a DNA sequence and cloned into the pET28a (+) vector to validate translational activity as well as the microbial production process. The vaccine developed in this study requires further scientific consensus before it can be used against T. pallidum to confirm its safety and efficacy.

Purpose: The management of primary hyperparathyroidism (PHPT) during pregnancy may be surgical or conservative. This study compared adverse outcomes between surgical and non-surgical treatments. Additionally, the study investigated the correlation between serum calcium values and complication rates., Methods: A systematic review of retrospective studies, case series, and case reports. Biochemical parameters, interventions, and outcomes of each pregnancy were recorded. The study population comprised two groups: the non-surgical and surgical groups. Adverse outcomes were categorized as maternal, obstetric, or neonatal., Results: The surgical and non-surgical groups consisted of 163 and 185 patients, respectively. A positive correlation was observed between the mean maternal gestational calcium value and both maternal and obstetric complication. Neonatal complications were more prevalent in patients treated conservatively across all maternal calcium values (p < 0.001). No significant differences were observed in maternal outcomes and overall obstetric outcomes between the study groups, albeit a higher mean serum calcium value in the surgical group (12.3 mg/dL) compared with the non-surgical group (11.1 mg/dL)., Conclusions: Given the significantly lower neonatal adverse outcomes in the surgical group compared to the non-surgical group, along with non-inferior maternal and obstetric outcomes in the surgical group, the overall data of this study suggest that parathyroidectomy is favorable to non-surgical management even in cases of mild hypercalcemia., (© 2024. The Author(s).)

Chest pain represents a symptom of significant clinical concern due to the potential for lethal etiologies. Accordingly, it is critical to ascertain the presence of stable angina through various diagnostic tests to inform subsequent therapeutic strategies. Stable angina, while potentially progressing to more severe conditions if left untreated, suffers from a paucity of research regarding its management compared to other more fatal causes of chest pain. Recent advancements in radiological imaging necessitate a re-evaluation of the array and functionality of diagnostic tests, with particular emphasis on prioritizing non-invasive methods such as electrocardiography and echocardiography. This study undertakes a comprehensive review of the literature pertaining to various diagnostic tests for stable angina. We conclude that the management of a patient presenting with chest pain encompasses a continuum of care, beginning with a detailed patient history to estimate pre-test probability and culminating in computed tomography coronary angiography. This continuum is highly individualized, taking into account patient-specific variables, disease burden, and test indications. In an era of rapid research advancement, our findings delineate the optimal sequence of initial diagnostic tests, emphasizing the role of current non-invasive imaging modalities as outlined in standard clinical guidelines., Competing Interests: Conflict of Interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright ©2024 The Author(s).)

Patients with acromegaly usually present with the classical signs of acromegaly, whereas patients without the specific signs or symptoms are rarely diagnosed. This unique entity can be named "subclinical acromegaly". This was a retrospective study. Our study group consisted of 6 patients (4 females) with incidentally diagnosed acromegaly, most following head MRI for unrelated reasons and without the specific signs of acromegaly. Mean age at diagnosis was 48.8 ± 19.2 years. Baseline IGF-1 ranged between 1.3-2.0 × upper limit of normal (ULN). MRI depicted a pituitary microadenoma in 5 patients, and one patient presented with a 12 mm intra-sellar macroadenoma. Mean calculated SAGIT clinical score was 4.8. Three patients underwent trans-sphenoidal resection; two achieved hormonal remission and one improved but did not normalize IGF-1 following surgery. Four patients (including one following surgery) were given somatostatin analogs, and three normalized IGF-1. Several patients improved clinically following treatment, reporting improvement in snoring, hypertension, or weight loss, and pituitary adenoma decreased in size in 2 patients that responded to medical treatment. We report a series of 6 patients with very mild and subclinical acromegaly. It is uncertain whether all such patients will gain clinical benefit from treatment, but most experienced clinical improvement due to treatment.

Building upon the job demands-resources (JD-R) theory, this research offers an in-depth exploration of the mechanisms by which idiosyncratic deals (I-deals), such as personalized work arrangements, can enhance academics' psychological empowerment (PE) and hence affect their work engagement. This study's purpose was to investigate whether PE mediates the relationships between task and work responsibilities I-deals, flexibility I-deals, and work engagement among academics in higher education and whether the mediating effects are moderated by academics' internal locus of control. Using an online platform, the survey questionnaire was sent to 650 academics working in higher education. The results reveal that task and work responsibilities I-deals and flexibility I-deals, are positively associated with the academics' work engagement and that PE mediates those relationships. Additionally, the internal locus of control strengthens the positive relationship between task and work responsibilities I-deals and PE, and it enhances the indirect effect of task and work responsibilities I-deals on academics' work engagement through PE. Though, this study did not find the moderating effect of internal locus of control on the flexibility I-deals-PE relationship; however, the results indicate that internal locus of control boosts the indirect effect of flexibility I-deals on academics' work engagement through PE., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Shams, Mei, Adnan, Niazi and Khan.)

Acromegaly is a rare condition typically caused by benign pituitary adenomas, resulting in excessive production of growth hormone. Clinical manifestations of acromegaly are diverse, varying from the overgrowth of body tissue to cardiovascular, metabolic, and osteoarticular disorders. Symptoms may emerge slowly, overlapping with other diseases and often involve many different healthcare specialists. In the last decade, efforts to provide an accurate and timely diagnosis of acromegaly have improved disease management and clinical experience. Despite this progress, marked differences in the diagnosis, treatment, and management of acromegaly exist from country-to-country. To address these inconsistencies in the region comprising Central and Eastern Europe, Israel, and Kazakhstan, a panel of acromegaly experts from 13 of these countries was convened. Acromegaly experts from each country provided available information on the approaches from their country, including regional treatment centers and multidisciplinary teams, treatment access, reimbursement and availability, and physician education, disease awareness, and patient advocacy. Across several areas of acromegaly management, divergent approaches were identified and discussed, including the provision of multidisciplinary care, approved and available treatments, and disease awareness programs. These were recognized as areas of potential improvement in the management of acromegaly, in addition to participation in national and regional acromegaly registries. Further experience exchange will facilitate the identification of specific strategies that can be adapted in each country, and widespread participation in acromegaly registries will enable their evaluation. It is anticipated that this approach will support the optimization of acromegaly patient care across this region., Competing Interests: The authors declare competing interests as follows: MB reports personal fees and non-financial support from Novartis; grants, personal fees and non-financial support from Ipsen; personal fees, non-financial support and other from Pfizer; and personal fees from Recordati outside the submitted work. MD reports personal fees from Pfizer and personal fees from Novartis outside the submitted work. MG reports personal fees from Pfizer and personal fees from Novartis outside the submitted work. VH reports personal fees and non-financial support from Pfizer and Ipsen outside the submitted work. II reports lectures’ fees from Pfizer and Ipsen outside the submitted work. DK reports personal fees from Pfizer outside the submitted work. TK reports personal fees from Pfizer and personal fees from Novartis outside the submitted work. MK reports personal fees from Pfizer outside the submitted work. CP reports personal fees from Pfizer, Novartis and Ipsen outside the submitted work. SV reports personal fees from Pfizer outside the submitted work. RG reports employment with Pfizer. SP reports employment with Pfizer. DS reports employment with Pfizer. IS reports personal fees and other from Pfizer; personal fees and other from Medison Pharma; and grants, personal fees and other from Novartis outside the submitted work. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. This project received funding from Pfizer. The funder had the following involvement with the study: supported the face-to-face advisory board meeting and funded medical writing and editorial assistance., (Copyright © 2022 Bolanowski, Adnan, Doknic, Guk, Hána, Ilovayskaya, Kastelan, Kocjan, Kužma, Nurbekova, Poiana, Szücs, Vandeva, Gomez, Paidac, Simoneau and Shimon.)