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Mirza A Hammad, Syed Sikander Azam National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan Abstract: Wnt-4 (wingless mouse mammary tumor virus integration site-4) protein is involved in many crucial embryonic pathways regulating essential processes. Aberrant Wnt-4 activity causes various anomalies leading to gastric, colon, or breast cancer. Wnt-4 is a conserved protein in structure and sequence. All Wnt proteins contain an unusual fold comprising of a thumb (or N-terminal domain) and index finger (or C-terminal domain) bifurcated by a palm domain. The aim of this study was to identify the best inhibitors of Wnt-4 that not only interact with Wnt-4 protein but also with the covalently bound acyl group to inhibit aberrant Wnt-4 activity. A systematic computational approach was used to analyze inhibition of Wnt-4. Palmitoleic acid was docked into Wnt-4 protein, followed by ligand-based virtual screening of nearly 209,847 compounds; conformer generation of 271 compounds resulted from extensive virtual screening and comparative docking of 10,531 conformers of 271 unique compounds through GOLD (Genetic Optimization for Ligand Docking), AutoDock-Vina, and FRED (Fast Rigid Exhaustive Docking) was subsequently performed. Linux scripts was used to handle the libraries of compounds. The best compounds were selected on the basis of having maximum interactions to protein with bound palmitoleic acid. These represented lead inhibitors in further experiments. Palmitoleic acid is important for efficient Wnt activity, but aberrant Wnt-4 expression can be inhibited by designing inhibitors interacting with both protein and palmitoleic acid. Keywords: thumb-index fold, comparative study, natural products, inhibitor searching, cancer, molecular docking, virtual screening

Novel research has been conducted on Aloe vera, focusing on stems fiber (agricultural waste), for the extraction of cellulosic fiber, an area lacking prior scientific exploration. This fiber is being reported for the first time in the scientific community. Aloe barbadensis Miller variety was subjected to various cultivation methods, including the application of inorganic and organic fertilizers, along with the removal of lower leaves to promote stem growth. Stem fibers were extracted using the water retting method and subsequently analyzed. The moisture content was 55.35 % and 6.99 % ash content in the fibers. The bacteriostatic analysis of Aloe vera fibers was assessed against four bacterial strains, with both ethanol and water extracts showing varying degrees of inhibition zones. The UV–Visible spectrum exhibited a distinct λmax at 247 nm in ethanol, while FT-IR analysis provided characteristic peaks at 3759, 1590, 1750, 1663, 1250, 564, SEM images displayed the smooth surface morphology of the fibers, and X-ray diffraction analysis indicated a high degree of crystallinity (78.67 %), suggesting a well-structured and crystalline nature. Energy dispersive X-ray (EDX) analysis was conducted to determine the elemental composition of the fibers, revealing the presence of carbon, oxygen, calcium, and copper, with carbon being the predominant element in cellulose. These results showed promising properties suggesting potential applications in textile industry as an alternative sustainable natural cellulosic fiber.

The adoption of cloud computing has been increasingly common across several industries in recent years and offers unparalleled flexibility and scalability in managing computational resources. However, the increasing reliance on cloud infrastructure also raises concerns regarding the monitoring and mitigation of drift, which pertains to unforeseen modifications inside the cloud environment. The aforementioned modifications possess the capacity to induce operational disruptions and can affect cloud provider reputation. This paper introduces a novel methodology for a proactive drift detection approach, referred to as the Ensemble of Variational Auto-encoder featuring Sequential Contextual Network Extended Kolmogorov-Smirnov Test (EnVACK) a Multi-Mode Variational Auto-encoder with Kolmogorov-Smirnov. It analyzes the data distribution using a non-parametric deep learning approach to create the concept drift map to address sudden and gradual drift challenges in the non-Gaussian cloud domain. This map gives a drift overview at each resource and combined level. This has shown a 96% f-score in the cloud domain an improvement of 4% when evaluated against benchmark studies executed in different domains. The present methodology has been specifically devised to warn and predict the occurrence of drift in synthetic and real-world non-Gaussian cloud usage traces.

The purpose of this study was to synthesize ecofriendly nano-composite in which agricultural waste (seeds of Tamarindus indica) was used to synthesize tamarind seed polysaccharides (TSP) and its composite with copper nanoparticles (Cu-NPs) for the purpose of green and clean environment as well as reduction of green-house gases. Confirmation of extracted TSP, synthesized nanocomposite was carried out using FTIR, SEM, PXRD and EDX techniques. In FTIR analysis TSP gives a strong broad peak at 3331 cm−1 due to –OH group and in case of composite its intensity is reduced which might be due to the interactions between –OH and Cu+2 ions. SEM analysis gives that TSP have irregular and rough surface while Cu-NPs exhibited spherical morphology and composite showed clustering of spherical shape to rough surface. EDX analysis quantitatively represented copper having atomic ratio 0.57 % which confirms the synthesis of composite. Furthermore, synthesized composite demonstrated excellent antibacterial activity against gram-positive (S.aureus) and gram-negative bacteria (E.coli) even greater than standard medicine (ciprofloxacin). From this study it was revealed that agriculture waste can be utilized to make environment green as well as synthesized composite from agricultural waste seed also displayed excellent antimicrobial activities which directs that they can be utilized in medical field. This study aims to assess the antimicrobial properties of the nanocomposite, aiming to contribute to the development of effective antimicrobial agents. Through these objectives, the research seeks to bridge the gap between green technology and antimicrobial efficacy, offering a promising avenue for both environmental conservation and healthcare advancements.

Geckos and their products have been used in Asian traditional medicine. Medicinal properties of desert-dwelling Gecko species, Crossobamon orientalis remain unexplored. In this study, natural bioactive macromolecules present in oil extracted from C. orientalis (COO) and their biological activities were evaluated. Chemical constitution of COO was explored by using gas chromatography mass spectrometry. Antioxidant, antiviral, and antibacterial activities of COO extracts were assessed using various assays, including DPPH free-radical-protocol, HET-CAM method, in ovo-antiviral technique, and disc-diffusion method. GC-MS study reported 40 different compounds in COO. n-hexane and methanol extracts of COO demonstrated highest DPPH radical inhibition, with values of 70 and 63.3%, respectively. Extracts of COO in solvents, namely 1-butanol, methanol, diethyl ether, and n-hexane significantly inhibited the proliferation of four pathogenic viruses. Maximum zone of inhibition was observed for Escherichia coli (13.65 ± 0.57 mm). These findings suggest that COO possesses potent antioxidant and antimicrobial properties against viral and bacterial strains, thanks to its biologically active components having no side effects. Further studies are essential to isolate and identify individual bioactive compounds present in COO and to investigate their potential as therapeutic agents.

Mitigating climate change can be achieved by opting for sustainable, plant-based materials instead of relying on hazardous chemicals that come with various side effects. Various natural plant extracts find widespread application in synthesizing insect-repellent coatings, particularly in industries such as paint manufacturing. The increasing demand for these coatings has led us to find out the effects of different plant extracts for the efficient preparation of paints with more advanced impacts and low cost. For this purpose, zinc nanoparticles of Eucalyptus globulus L. and its extracts were used in this study due to their remarkable biocidal and antimicrobial activities. The extract was prepared by the process of oven-drying and heating followed by their filtration. Then, they were subjected to different phytochemical tests that were performed in which plant material did not contain flavonoids and glycol. The comparison of the size of nanoparticles was visible during the weighing which was found to be 4.451 mg. Advanced characterization techniques like FTIR, UV visible spectroscopy, and particle size analysis were adopted for the analysis of nanoparticles of plant extract. The FTIR analysis of the plant material was reported to lie in the range of 1000–1800 cm−1. On the other hand, the results of UV visible spectroscopy of nanoparticles of plant extract showed absorption peaks around 300 nm. The produced material was integrated into paint formulations to impart insect-repellent and antibacterial characteristics. Painted panels exhibited notable antibacterial efficacy, presenting an inhibition zone of 0.7 cm for Escherichia coli and 0.3 cm for Staphylococcus aureus when utilizing biocide. Plant nanoparticles yielded inhibition zones of 1 and 1.2, while aqueous extract resulted in zones of 0.2 and 0.5, respectively. A thorough evaluation of the paint's color attributes, including ΔL, Δa, Δb, and ΔE, indicated noteworthy differences. The CMC ΔE values from the trials exceeded 1, indicating a substantial change in shade. The batches of paints containing E. globulus extracts and nanoparticles were found to be lighter in color specifically green and yellow colors. Their antimicrobial and insect repellant activity was tested using the mosquitos of Aedes aegypti with an age of 4–5 weeks, revealing that formulations with plant extracts exhibited a 61 % effective period, greater than the 7 % observed in non-biocidal formulations. The paint responded best towards these mosquitoes in terms of repellency and the ultimate target of this study was achieved.

Background: Antibiotic use without a prescription (nonprescription use) leads to antibiotic overuse, with negative consequences for patient and public health. We studied whether screening patients for prior nonprescription antibiotic use in the past 12 months predicted their intentions to use them in the future. Methods: A survey asking respondents about prior and intended nonprescription antibiotic use was performed between January 2020 and June 2021 among patients in waiting rooms of 6 public clinics and 2 private emergency departments in economically and socially diverse urban and suburban areas. Respondents were classified as prior nonprescription users if they reported previously taking oral antibiotics without contacting a doctor, dentist, or nurse. Intended use was defined as answering “yes” or “maybe” to the question, “Would you use antibiotics without contacting a doctor, nurse, or dentist?” We calculated the sensitivity, specificity, and positive and negative predictive value (PPV and NPV) of prior nonprescription antibiotic use in the past 12 months for future intended nonprescription use. Bayes PPV and NPV were also calculated, considering the prevalence of nonprescription antibiotic use (24.8%) in our study. Results: Of the 564 patients surveyed, the median age was 51 years (SD, 19–92), with 72% of patients identifying as female. Most were from the public healthcare system (72.5%). Most respondents identified as Hispanic or Latino(a) (47%) or African American (33%), and 57% received Medicaid or the county financial assistance program. Prior nonprescription use was reported by 246 (43%) of 564 individuals, with 91 (16%) reporting nonprescription use within the previous 12 months. Intention to use nonprescription antibiotics was reported by 140 participants (25%). The sensitivity and specificity of prior nonprescription use in the past 12 months to predict the intention to use nonprescription antibiotics in the future were 75.9% (95% CI, 65.3–84.6) and 91.4% (95% CI, 87.8–94.2), respectively. After the Bayes’ adjustment, the PPV and NPV of prior use to predict future intention were 74.5% (95% CI, 66.7–80.9) and 92.0% (95% CI, 88.7–94.4) (Table 1). Conclusions: These results show that prior nonprescription antibiotic use in the past 12 months predicted the intention to use nonprescription antibiotics in the future (PPV of 75%). As a stewardship effort, we suggest clinicians use a simple question about prior nonprescription antibiotic use in primary-care settings as a screening question for patients at high risk for future nonprescription antibiotic use.

Herein, a new series of azo ligands HL-1 (5-(2-chloro-6-(phenylcarbonyl)phenyl)diazenyl)-6-hydroxydihydropyrimidines-2,4dione), HL-2 (5-(2-chloro-6-(phenylcarbonyl)phenyl)diazenyl)-6-hydroxy-2-thioxottetrahydropyrimidin-4one), HL-3 (5-(2,4-dichloro-6-(phenylcarbonyl)phenyl) diazenyl)-6-hydroxydihydropyrimidines-2,4dione), HL-4 (5-(2,4-dichloro-6-(phenylcarbonyl) phenyl)diazenyl)-6-hydroxy-2-thioxotetrahydropyrimidin-4one) and their metal complexes with Cu(II) & Ni(II) were synthesized successfully having excellent yield, in reproducible conditions and for structure elucidation different advance spectroscopic techniques (FTIR, 1H NMR, 13C NMR and Mass Spectrometry) were applied. In FTIR analysis, the absence of peak at 3450-3550 cm-1 due to –NH2 and presence of a new peak of N=N at 1390-1520 cm−1 confirmed synthesis of the ligands. The 1H NMR spectra of azo ligands showed singlet peak at 11.5–13.5 ppm (Ar-OH) for hydroxyl group and –NH2 signals disappearance of anilines at 4–5 ppm also gives strong indication for the synthesis of azo compounds. On complexation two most important peaks (M-O, M-N) appeared in all the metal chelates in the range of 400–600 cm−1 which were not present in any of the ligands, confirmed the formation of complexes. Molecular ion peaks in mass spectra at 273, 388, 407 and 423 m/z value for ligands as well as for complexes at 803, 835, 871 and 904 m/z also give strong indication that proposed ligands and their metal complexes are produced successfully. Biological screening of the synthesized compounds were also carried out against different bacterial strains (E.coli, S.typhi, and B.subtilis), antifungal (C.albicans, A.niger, and C.glabrata) strains and antioxidant activity. From results it was observed that HL-4 and Cu complexes exhibited maximum inhibition against all bacterial and fungal strains as compared to other ligands and standard drug.

Objective: To analysis the relationship of vital signs of patients experiencing acute asthmatic episodes presenting in the emergency room. Methods: A cross-sectional study was conducted at the emergency department of provincial hospital, in Banjarmasin, Indonesia between July-August 2019. Subjects were studied during an acute asthmatic episode. The patient's vital signs, such as respiratory rate, temperature, blood pressure, and heart rate were continuously and in real time monitored using observation sheets kept by nurses providing emergency care. Results: Of 220 patients with acute asthmatic attack, the mean age was 30.6 ± 9.7 years. There were 92 (41.8%) males and 128 (58.2%) females. According to the different levels of asthmatic episodes, majority 109 (49.5%) of patients had moderate level of asthmatic attack, while 66 (30.0%) patients had mild and 45 (20.5%) patients had severe asthmatic attack. Mean respiratory rate and heart rate significantly increased according to the levels of an asthma attack (mild to severe) (p-values < 0.001) respectively. Conclusion: During an acute asthmatic episode, vital signs (such as heart rate and respiratory rate) alter abnormally, indicating the need for an immediate intervention. Appropriate asthma medications, as well as diligent vital sign monitoring by nursing staff, are essential for patients with altered vital signs.

This study presents a comparative life-cycle assessment of two juicers, of same power rating and capacity, produced by two different manufacturers. First juicer was produced in Slovenia and the second juicer was produced in China. Life-cycle inventory for each juicer was compiled by considering all the stages of life cycle, including manufacturing, transportation, usage and end-of-life. Simapro software was used for modelling life-cycle inventory and ReCiPe method was used for impact assessment. Life-cycle assessment revealed that despite having the same power rating and capacity, two juicers have significantly different environmental impacts. Juicer produced in Slovenia consumes 50% less power and on average has 20% less environmental impacts. Compact design, efficient motor and frugal use of materials contributed to this superior environmental performance.

Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and plays a crucial role in electric capacity scheduling and power systems management and, therefore, it has attracted increasing academic interest. Hence, the accuracy of electric load forecasting has great importance for energy generating capacity scheduling and power system management. This paper presents a review of forecasting methods and models for electricity load. About 45 academic papers have been used for the comparison based on specified criteria such as time frame, inputs, outputs, the scale of the project, and value. The review reveals that despite the relative simplicity of all reviewed models, the regression analysis is still widely used and efficient for long-term forecasting. As for short-term predictions, machine learning or artificial intelligence-based models such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Fuzzy logic are favored.

At intersections, Left-turning vehicles seek to occupy the same physical space as close to the stop line as possible. These result in high conflicts, delays, and blockage of vehicles by turning vehicles and vice versa. The impact of the lengths of Left-turn lanes on intersection delays is considered to optimize the lengths of the Left-turn lanes. Data for traffic counts, queue lengths, and signal timing are collected from three intersections in Baghdad city in Iraq. The methodology involves the development of estimation models using traffic Simulation SIDRA INTERSECTION 8.0 and simulating various scenarios by varying traffic signal conditions to evaluate delays and queues caused by varying lengths of the Left-turn Lane. Optimal lengths are computed and compared to existing lengths in intersections. No differences in delay, queue, and lengths of the Left turn lane are found using t-test analysis for significance. Outputs from the three models were compared to the maximum observed in the field from the selected intersections. Data analysis involved determining the R2 and the standard error mean between the model output and the observed data. In general, SIDRA INTERSECTION 8.0 overestimated queue vehicles and length of storage for approaches with a high degree of saturation ratios and underestimated it for those with a high degree of saturation ratios.

Abstract The huge amount of video data available these days requires effective management techniques for storage, indexing, and retrieval. Video summarization, a method to manage video data, provides concise versions of the videos for efficient browsing and retrieval. Key frame extraction is a form of video summarization which selects only the most salient frames from a given video. Since the automatic semantic understanding of the video contents is not possible so far, most of the existing works employ low level index features for extracting key frames. However, the usage of low level features results in loss of semantic details, thus leading to a semantic gap. In this context, the saliency-based user attention modeling technique can be used to bridge this semantic gap. In this paper, a key frame extraction scheme based on a visual attention mechanism is proposed. The proposed scheme builds static visual attention method based on multi-scale contrast instead of usual color contrast. The dynamic visual attention model is developed based on novel relative motion intensity and relative motion orientation. An efficient fusion scheme for combining three visual attention values is then proposed. A flexible technique is then used for key frame extraction. The experimental results demonstrate that the proposed mechanism provides excellent results as compared to the some of the other prominent techniques in the literature.

Governments these days are demanding better Smart City technologies in order to connect with citizens and understand their demands. For such governments, much needed information exists on social media where members belonging to diverse groups share different interests, post statuses, review and comment on various topics. Aspect extraction from this data can provide a thorough understanding of citizens’ behaviors and choices. Also, categorization of these aspects can better summarize societal concerns regarding political, economic, religious and social issues. Aspect category detection (ACD) from people reviews is one of the major tasks of aspect-based sentiment analysis (ABSA). The success of ABSA is mainly defined by the inexpensive and accurate machine-processable representation of the raw input sentences. Previous approaches rely on cumbersome feature extraction procedures from sentences, which adds its own complexity and inaccuracy in performing ACD tasks. In this paper, we propose an inexpensive and simple method to obtain the most suitable representation of a sentence-vector through different algebraic combinations of a sentence’s word vectors, which will act as an input to any machine learning classifier. We have tested our technique on the restaurant review data provided in SemEval-2015 and SemEval-2016. SemEval is a series of global challenges to evaluate the effectiveness of disambiguation of word sense. Our results showed the highest F1-scores of 76.40% in SemEval-2016 Task 5, and 94.99% in SemEval-2015 Task 12.

The availability of clean drinking water is a significant problem worldwide. Many technologies exist for purifying drinking water, however, many of these methods require chemicals or use simple methods, such as boiling and filtering, which may or may not be effective in removing waterborne pathogens. Present methods for detecting pathogens in point-of-use (POU) sterilized water are typically time prohibitive or have limited ability differentiating between active and inactive cells. This work describes a rapid electrochemical sensor to differentially detect the presence of active Escherichia coli (E. coli) O157:H7 in samples that have been partially or completely sterilized using a new POU electrocatalytic water purification technology based on superradicals generated by defect laden titania (TiO2) nanotubes. The sensor was also used to detect pathogens sterilized by UV-C radiation for a comparison of different modes of cell death. The sensor utilizes immunomagnetic bead separation to isolate active bacteria by forming a sandwich assay comprised of antibody functionalized secondary magnetic beads, E. coli O157:H7, and polyguanine (polyG) oligonucleotide functionalized secondary polystyrene beads as an electrochemical tag. The assay is formed by the attachment of antibodies to active receptors on the membrane of E. coli, allowing the sensor to differentially detect viable cells. Ultravioloet (UV)-C radiation and an electrocatalytic reactor (ER) with integrated defect-laden titania nanotubes were used to examine the sensors’ performance in detecting sterilized cells under different modes of cell death. Plate counts and flow cytometry were used to quantify disinfection efficacy and cell damage. It was found that the ER treatments shredded the bacteria into multiple fragments, while UV-C treatments inactivated the bacteria but left the cell membrane mostly intact.

This work introduces an extremely easy method for preparing luminescent carbon dots (CDs) at ambient temperature using 1,2-naphthoquinone sulphonate and ethylenediamine as precursors via self-exothermic reaction without energy input. The as-obtained CDs have a high quantum yield (34.1 %), a production yield of 21.2 %, and a small size diameter (3.44 nm). Various techniques (NMR, TEM, EDX-mapping, XPS, XRD, FT-IR, fluorescence, and UV-visible spectroscopy) were used to characterize the prepared CDs. The CDs exhibited an excitation-independent emission with λ ex of 275 nm, demonstrating their homogeneity and high purity. The anticancer drug vincristine (VCR) quantitively quenched the fluorescent signal of the synthesized CDs, allowing their application as the first fluorescent nano-sensor to determine VCR. The quenching effect was linear within the range of 0.2-5.0 μg mL -1 , enabling the determination of VCR in vials, plasma, and for content uniformity testing with a detection limit of 0.06 μg mL -1 . Moreover, the synthesized CDs were employed as a bio-sensing platform to detect VCR in cancer cells owing to their good selectivity, excellent biocompatibility, minimal cytotoxicity, and high stability. The fabrication of CDs with excellent properties at room temperature under mild conditions paves the way for new advancements in the room temperature synthesis of CDs and offers a highly efficient alternative to traditional synthesis approaches., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Sleep is one of the fundamental human needs, essential for maintaining a high quality of life and mental and physical well-being across all age groups. Poor sleep quality often stems from negative lifestyle habits, including excessive internet usage. Therefore, it is important to determine the prevalence of internet gaming disorder among youth in Saudi Arabia and to examine the relationship between internet addiction levels and sleep quality., Methods: Data were collected from 338 medical students in the southern region of Saudi Arabia (mean age = 21.2 years, standard deviation = 3.29 years). Participants completed an online questionnaire comprising the Internet Addiction Test (IAT) and the Pittsburgh Sleep Quality Index (PSQI). Data analysis employed iterations, chi-square tests, Pearson correlation coefficients, and ANOVA., Results: The results revealed that 21% of the participants exhibited severe internet addiction, while 31% displayed moderate internet addiction. Furthermore, the findings indicated a positive correlation between sleep quality and the severity of internet addiction. Sleep quality symptoms explained 75% of the variance in Internet addiction scores, even after controlling for demographic variables. Additional bivariate analyses revealed that individuals who spent six or more hours online daily were more likely to experience symptoms of poor sleep quality and exhibit a higher severity of internet addiction. Additionally, Men were more susceptible to developing internet addiction compared to women. Moreover, students with internet addiction tended to have lower academic achievements., Conclusion: These findings, while exploratory, offer valuable insights into potential interventions, strategies, and programs for mitigating internet addiction and enhancing sleep quality among medical college students.

Priapism is a rare condition characterized by prolonged and often painful penile erection unrelated to sexual stimulation. Ischemic priapism, the most common subtype, requires immediate attention to prevent irreversible damage to erectile tissue. This narrative review explores the initial management strategies for ischemic priapism. Intracavernosal phenylephrine injection and aspiration with or without irrigation are recommended as first-line treatments, with alternative options available depending on clinical settings and patient factors. While guidelines offer clear recommendations for priapism lasting more than 4 h, management of shorter-duration cases remains challenging due to limited evidence., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Introduction: The associated symptoms of hypogonadism have been reported in patients with various types of cancer. However, the prevalence and significance of hypogonadism among certain hematologic malignancies have not been completely summarized in recent literature., Objective: In this review we aimed to examine the current literature on hypogonadism in patients with hematologic malignancies, with emphasis on leukemias, lymphomas, and multiple myeloma (MM)., Methods: This review included relevant studies published before July 2023 that were retrieved through a search of PubMed using the keywords "hematologic cancer," "hematologic malignancy," blood cancer," "leukemia," "lymphoma," "hypogonadism," "multiple myeloma," and "testosterone.", Results: The search yielded 214 studies, of which 21 met the inclusion criteria. Commonly reported findings were that patients who had received hematopoietic stem cell therapy for acute lymphoblastic leukemia and acute myelogenous leukemia as children had laboratory-confirmed hypogonadism as adults. However, the impact of these diseases on hypogonadal symptoms was variable in these studies.Studies reporting on lymphoma and hypogonadism had mixed results, with some studies finding that the degree of cytotoxic chemotherapy was associated with hypogonadism, while others showed no correlation. Regardless, multiple studies found that hypogonadism secondary to lymphoma treatment and symptoms of hypogonadism had no apparent association.The most comprehensive assessment of the frequency of hypogonadism in an MM cohort found that 74% of 561 MM patients were classified as hypogonadal compared to 33% of patients in a control population. Testosterone supplementation was found to lower interleukin-6 levels, which could potentially help manage some of the adverse effects of MM, including decreased bone mineral density., Conclusion: There is a relationship between hematologic malignancies and hypogonadism, which is likely multifactorial. In this review we established that the most plausible factors are related to the secondary effects of gonadotoxic treatments and/or systemic inflammatory responses to the diseases., (© The Author(s) 2024. Published by Oxford University Press on behalf of The International Society of Sexual Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.)

Despite a well-documented increase in both the prevalence of Testosterone Deficiency (TD) and prescription of testosterone replacement therapy (TRT), few studies have investigated the preferences of patients receiving TRT and factors associated with increased treatment satisfaction. To investigate the preferences of patients receiving TRT and factors associated with improved treatment satisfaction, an open survey was completed by 140 men receiving TRT at a single institution. Survey questions investigated demographics, symptom burden of TD, TRT regimen, treatment preferences, and treatment satisfaction. 62.7% of patients were satisfied with their current TRT regimen. Those using auto-injectors (91.7%, odds ration [OR] = 9.3), subcutaneous pellets (90.0%, OR = 15.2), and intramuscular injections (67.5%, OR = 5.7), were with significantly increased satisfaction rates (p < 0.05). The majority of patients indicated that they would prefer to receive TRT injections when self-administered or administered at home. While patients noted that treatment efficacy was a significant driving factor when evaluating a TRT regimen, few patients felt that cost was the most significant factor., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Alzheimer's disease (AD) is a globally prevalent form of dementia that impacts diverse populations and is characterized by progressive neurodegeneration and impairments in executive memory. Although the exact mechanisms underlying AD pathogenesis remain unclear, it is commonly accepted that the aggregation of misfolded proteins, such as amyloid plaques and neurofibrillary tau tangles, plays a critical role. Additionally, AD is a multifactorial condition influenced by various genetic factors and can manifest as either early-onset AD (EOAD) or late-onset AD (LOAD), each associated with specific gene variants. One gene of particular interest in both EOAD and LOAD is RIN3, a guanine nucleotide exchange factor. This gene plays a multifaceted role in AD pathogenesis. Firstly, upregulation of RIN3 can result in endosomal enlargement and dysfunction, thereby facilitating the accumulation of beta-amyloid (Aβ) peptides in the brain. Secondly, RIN3 has been shown to impact the PICLAM pathway, affecting transcytosis across the blood-brain barrier. Lastly, RIN3 has implications for immune-mediated responses, notably through its influence on the PTK2B gene. This review aims to provide a concise overview of AD and delve into the role of the RIN3 gene in its pathogenesis., (© 2023. The Author(s).)

Renal transplant patients receive several immunosuppressive drug regimens that are potentially nephrotoxic for treatment. Serum creatinine is the standard for monitoring kidney function; however, cystatin C (Cys C) and kidney injury molecule-1 (KIM-1) have been found to indicate kidney injury earlier than serum creatinine and provide a better reflection of kidney function. Here, we assessed Cys C and KIM-1 serum levels in renal transplant patients receiving mycophenolate mofetil, tacrolimus, sirolimus, everolimus, or cyclosporine to evaluate kidney function. We used both the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2021 equation, which is based on creatinine and combined creatinine with Cys C, and the CKD-EPI 2012 equation, which is based on Cys C alone, to estimate glomerular filtration rate (GFR). Then, we assessed the association between serum KIM-1 and GFR < 90 mL per minute per 1.73 m 2 . We observed significantly higher serum Cys C levels in patients with the elevated serum creatinine, compared with those with normal serum creatinine. The estimated GFRs based on creatinine were significantly higher than those based on the other equations, while a significant positive correlation was observed among all equations. Serum KIM-1 levels were negatively correlated with the estimated GFRs by the CKD-EPI Cys C and the combined creatinine with Cys C equations. A serum KIM-1 level above 0.71 ng/mL is likely to indicate GFR < 90 mL per minute per 1.73 m 2 . We observed a significant correlation between serum creatinine and Cys C in our renal transplant patients. Therefore, serum KIM-1 may be used to monitor renal function when using potentially nephrotoxic drugs in renal transplants.

Spodoptera frugiperda , the fall armyworm (FAW), is a highly invasive polyphagous insect pest that is considered a source of severe economic losses to agricultural production. Currently, the majority of chemical insecticides pose tremendous threats to humans and animals besides insect resistance. Thus, there is an urgent need to develop new pest management strategies with more specificity, efficiency, and sustainability. Chitin-degrading enzymes, including chitinases, are promising agents which may contribute to FAW control. Chitinase-producing microorganisms are reported normally in bacteria and fungi. In the present study, Serratia marcescens was successfully isolated and identified from the larvae of Spodoptera frugiperda . The bacterial strain NRC408 displayed the highest chitinase enzyme activity of 250 units per milligram of protein. Subsequently, the chitinase gene was cloned and heterologously expressed in E. coli BL21 (DE3). Recombinant chitinase B was overproduced to 2.5-fold, driven by the T7 expression system. Recombinant chitinase B was evaluated for its efficacy as an insecticidal bioagent against S. frugiperda larvae, which induced significant alteration in subsequent developmental stages and conspicuous malformations. Additionally, our study highlights that in silico analyses of the anticipated protein encoded by the chitinase gene (ChiB) offered improved predictions for enzyme binding and catalytic activity. The effectiveness of (ChiB) against S. frugiperda was evaluated in laboratory and controlled field conditions. The results indicated significant mortality, disturbed development, different induced malformations, and a reduction in larval populations. Thus, the current study consequently recommends chitinase B for the first time to control FAW.

Internet gaming addiction is a global problem, especially among young individuals. Exhibiting characteristics similar to other addictions, Internet Gaming Disorder (IGD) is linked to adverse mental health outcomes. Identified as risk factors for dependence behaviors, the association of impulsivity and aggression with IGD is relatively under-researched in the student population. The present sample of 350 university students (M age  = 21.30 years, SD age  = 4.96 years) from Najran university in Saudi Arabia completed an online questionnaire that included the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF), the Buss-Perry Aggression Questionnaire-Short Form, and the Barratt Impulsiveness Scale (BIS-15). Results indicated that impulsivity and aggression were positively associated with IGD severity and both personality traits explained 34.6% of the variance in IGD scores. Further bivariate analyses suggested that individuals spending 7 or more hours on internet gaming were more likely to exhibit high impulsivity and aggression, and had a relatively higher severity of IGD. These results suggest that individuals with these personality traits may be more vulnerable to developing an addiction to internet gaming. These findings need to be confirmed in future more robust studies; however, this exploratory study provides insights for potential programs to prevent IGD among young individuals., (© 2024. The Author(s).)

Objective: Child abuse and neglect have several short- and long-term consequences for the victim. Though Deaf and Hard-of-Hearing children are at higher risk of being maltreated as compared to hearing children, little research in Saudi Arabia has focused on this population. To determine the prevalence of child maltreatment and to examine its association with depression and anxiety among a sample of Deaf and Hard-of-Hearing students in Saudi Arabia, recruited from secondary schools in southern Saudi Arabia., Methods: The sample included 186 Deaf and Hard-of-Hearing students aged 14-17 years ( M  = 15.7 years; SD = 3.41 years). Data were collected using the Child Abuse Self-Report Scale, Center for Epidemiological Studies Depression Scale for Children, and Generalized Anxiety Disorder Questionnaire. Bivariate and Linear regression analyses were conducted using SPSS 20., Results: About 47.3% of the students were exposed severe to very severe child maltreatment. The severity of maltreatment varied based on parents' educational and income level, number of children in the family, the Deaf and Hard-of-Hearing student's gender, and parents' hearing status. Linear regression analysis indicated that child maltreatment was a significant predictor of depression and anxiety in this sample., Conclusion: Considering the socio-demographic factors influencing the prevalence of maltreatment in the present study, it seems important to work with parents of Deaf and Hard-of-Hearing children to improve their skills in rearing a child with special needs. Addressing the social stigma and social barriers experienced by DHH individuals through familial, institutional, and community interventions may be a first step toward long-term prevention of maltreatment among DHH children., 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 © 2024 Hammad, Al-Otaibi and Awed.)

Background: Mental illness is a disorder that can cause impairment and disability, affecting mood, thinking, and behavior; therefore, early intervention will reduce morbidity. This study aims to evaluate all the personal, family, societal, and medical barriers that prevent mental health patients from seeking consultation and treatment., Methods: In Saudi Arabia, a cross-sectional study was conducted on 463 individuals aged 18 and above. Data were collected by face-to-face interviews using a validated questionnaire, which consisted of two parts. The first part included sociodemographic data, while the second part contained subsections of society/family, personal, and medical barriers., Results: The results showed that 379 (81.9%) indicated that society and family barriers impacted them, whereas 325 (70.3%) believed that personal barriers hindered seeking help. However, 294 (63.5%) opted for medical barriers as a hindrance. Regarding the highest barriers, 120 of the total respondents (25.9%) saw psychiatric illness as a source of shame and stigma, 166 respondents (35.9%) said that the psychiatric patient is seen as crazy, 159 of them (34.3%) believed it is tough for anyone to talk about their feelings and emotions and 183 respondent (39.5%) feared that psychiatric illness would decrease the chance of marriage to the appropriate person. Our findings also indicated a low trust in hospital treatment, hence a loss of confidence in using medications., Conclusion: The findings of this study indicate that societal stigma is the most common barrier preventing people from seeking mental health consultation. Many barriers differ significantly between males and females., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Mohamed et al.)

Background: To-date there have been minimal studies to investigate an association between the gut microbiome and erectile dysfunction. There have been many inflammatory diseases linked to gut microbiome dysbiosis; such as cardiovascular disease and metabolic syndrome. These same inflammatory diseases have been heavily linked to erectile dysfunction. Given the correlations between both conditions and cardiovascular disease and the metabolic syndrome, we believe that it is worthwhile to investigate a link between the two., Objective: To investigate the potential association between the gut microbiome and erectile dysfunction., Methods: Stool samples were collected from 28 participants with erectile dysfunction and 32 age-matched controls. Metatranscriptome sequencing was used to analyze the samples., Results: No significant differences were found in the gut microbiome characteristics, including Kyoto Encyclopedia of Genes and Genomes richness (p = 0.117), Kyoto Encyclopedia of Genes and Genomes diversity (p = 0.323), species richness (p = 0.364), and species diversity (p = 0.300), between the erectile dysfunction and control groups., Discussion: The association of gut microbiome dysbiosis and pro-inflammatory conditions has been well studied and further literature continues to add to this evidence. Our main limitation for this study was our small-sample size due to recruitment issues. We believe that a study with a larger population size may find an association between the gut microbiome and erectile dysfunction., Conclusions: The results of this study do not support a significant association between the gut microbiome and erectile dysfunction. Further research is needed to fully understand the relationship between these two conditions., (© 2023 The Authors. Andrology published by Wiley Periodicals LLC on behalf of American Society of Andrology and European Academy of Andrology.)

Purpose: To assess the diagnostic performance and utility of the ExoDx IntelliScore and an OPKO4K score to predict prostate cancer in men presenting with elevated PSA-both as independent predictors and in combination with clinical/MRI characteristics., Methods: Patients with elevated PSA were retrospectively reviewed. Abnormal tests were defined as an OPKO4K score ≥ 7.5% and an ExoDx IntelliScore ≥ 15.6. Four regression models and ROC curves were generated based on: (1) age, PSA, and DRE, (2) model 1 + OPKO4K 4Kscore ≥ 7.5%, (3) model 2 + ExoDx IntelliScore ≥ 15.6, and (4) model 3 + MRI PIRADS 4-5., Results: 359 men received an OPKO4K test, 307 had MRI and 113 had ExoDx tests. 163 men proceeded to prostate biopsy and 196 (55%) were saved from biopsy. Mean age was 65.0 ± 8.7 years and mean PSA was 7.1 ± 6.1 ng/mL. Positive biopsies were found in 84 (51.5%) men. The sensitivity and negative predictive value of an OPKO4K score were 86.7% and 72.3%; values for an ExoDx test were 76.5% and 77.1%, respectively. On regression analysis, clinical markers (Age, PSA, DRE) generated an AUC of 0.559. The addition of an OPKO4K score raised the AUC to 0.653. The stepwise addition of an ExoDx score raised the AUC to 0.766. The combined use of both biomarkers, patient characteristics, and MRI yielded an AUC of 0.825., Conclusion: This analysis demonstrates the high negative predictive value of both the OPKO4K score and ExoDX IntelliScore independently while demonstrating that the combination of an OPKO4K score, an ExoDX IntelliScore, and MRI increases predictive capability for biopsy confirmed prostate cancer., (© 2023. The Author(s).)