bluuebunny/crossref_metadata_2025 huggingface dataset:
The Prevalence of Orthostatic Hypotension in Cancer Patients
Authors: Iwański Mateusz A. , Sokołowska Aldona , Sokołowski Andrzej , Wojdyła Roman , Styczkiewicz Katarzyna
Published: March 2024

Background: Orthostatic hypotension (OH) is associated with higher risk of mortality in general population however not studied in cancer population. The study aimed to assess the prevalence of OH in cancer patients compared to the non-cancer population. Methods: A total of 411 patients (mean age 63.5 ± 10.6 years) were recruited: patients with active cancer (n = 223) and patients hospitalized for other reasons but without cancer diagnosis (n = 188). Medical history was collected and an orthostatic challenge test was performed. OH was defined as blood pressure (BP) decrease on standing ≥ 20 mmHg for systolic or ≥ 10 mmHg for diastolic BP in 1 or 3 minutes; or systolic BP decrease < 90 mmHg. Results: The prevalence of OH in cancer was significantly higher than in subjects without cancer- 28.7% vs. 16.5%, respectively, P = 0.003). OH was the most common in lung cancer, 57.5%. In single variable analysis, the predictors of OH were: cancer presence, age ≥ 65 years, and body mass index (BMI) ≥ 30 kg/m2. In the multivariable model, the strongest independent predictor of OH was cancer status doubling the risk of OH; BMI ≥ 30 kg/m2 and diabetes. Conclusions: Cancer patients are characterized by a high prevalence of OH. In this population, the recommendation of routine orthostatic challenge tests should be considered.
LC-ESI-QTOF-MS/MS Identification and Characterization of Phenolic Compounds from Leaves of Australian Myrtles and Their Antioxidant Activities
Authors: Ali Akhtar , Moeed Abdul , Cottrell Jeremy J. , Dunshea Frank R.
Published: March 2024

Phenolic compounds, present in plants, provide substantial health advantages, such as antioxidant and anti-inflammatory properties, which enhance cardiovascular and cognitive well-being. Australia is enriched with a wide range of plants with phytopharmacological potential, which needs to be fully elucidated. In this context, we analyzed leaves of aniseed myrtle (Syzygium anisatum), lemon myrtle (Backhousia citriodora), and cinnamon myrtle (Backhousia myrtifolia) for their complex phytochemical profile and antioxidant potential. LC-ESI-QTOF-MS/MS was applied for screening and characterizing these Australian myrtles’ phenolic compounds and the structure-function relation of phenolic compounds. This study identified 145 and quantified/semi-quantified 27 phenolic compounds in these Australian myrtles. Furthermore, phenolic contents (total phenolic content (TPC), total condensed tannins (TCT), and total flavonoids (TFC)) and antioxidant potential of phenolic extracts from the leaves of Australian myrtles were quantified. Aniseed myrtle was quantified with the highest TPC (52.49 ± 3.55 mg GAE/g) and total antioxidant potential than other selected myrtles. Catechin, epicatechin, isovitexin, cinnamic acid, and quercetin were quantified as Australian myrtles' most abundant phenolic compounds. Moreover, chemometric analysis further validated the results. This study provides a new insight into the novel potent bioactive phenolic compounds from Australian myrtles that could be potentially useful for functional, nutraceutical, and therapeutic applications.
A Peel Test Method to Characterise the Decay Law of Prepreg Tape Tack at Different Temperatures
Authors: Shi Jiaqi , Wang Wang , Wang Yuequan , Qi Junwei , Xiao Jun
Published: March 2024

Tack is one of the most important factors affecting the operability of prepregs, but it is still very difficult to obtain the change of prepreg tack with time at different temperatures. In this paper, a newly designed T-peel device is used to test the tack decay rate of prepregs at different temperatures. The obtained decay rate deviates less than 8.9% from the manufacturer's data. The maximum deviation of the ratio of tack decay speeds calculated by the Arrhenius equation from the experiments is not higher than -9.7%. It is proved that the present method can obtain the decay rate of tack of prepregs at different temperatures. This method is also applicable to the other two types of prepregs. The article proposes the handling life unit, an operational life measurement unit for prepregs, and establishes that the relationship between tack and remaining shelf life reduces prepreg management costs.
Changes and Functions of CX3CL1 in Viral Infection and Associated Diseases
Authors: Zhang Chunmei , Zhang Yusi , Zhuang Ran , Yang Kun , Chen Lihua , Jin Boquan , Ma Ying , Zhang Yun , Tang Kang
Published: March 2024

CX3CL1, also named fractalkine or neurotactin, the only known member of the CX3C chemokine family that can chemoattract several immune cells. CX3CL1 exists in both membrane-anchored and soluble forms, each mediating distinct biological activities. CX3CL1 signals are transmitted through its unique receptor, CX3CR1, primarily expressed in microglia of central nervous system (CNS). In the CNS, CX3CL1 acts as a regulator of microglia activation in response to brain disorders or inflammation. Recently, there has been a growing interest in the roles of CX3CL1 in regulating cell adhesion, chemotaxis, and host immune response in viral infection. Here, we provide a comprehensive review of the changes and function of CX3CL1 in various viral infections such as human immunodeficiency virus (HIV), SARS-CoV-2, influenza virus and cytomegalovirus (CMV) infection, to highlight the emerging roles of CX3CL1 in viral infection and the associated diseases.
FATTY ACID PROFILES AND FAT CONTENTS IN FISH, MODIFICATION METHODS AND POTENTIAL USES IN THE NUTRITION OF DOGS AND CATS
Authors:   West Pomeranian University of Technology in Szczecin, Faculty of Biotechnology and Animal Husbandry, Department of Monogastric Animal Sciences, Division of Animal Nutrition and Food, Szczecin, Poland, KĘPIŃSKA-PACELIK Jagoda , BIEL Wioletta ,   West Pomeranian University of Technology in Szczecin, Faculty of Biotechnology and Animal Husbandry, Department of Monogastric Animal Sciences, Division of Animal Nutrition and Food, Szczecin, Poland
Published: March 2024

Fish are rich in high-quality protein. Additionally, they are known for their high content of polyunsaturated fatty acids such as EPA and DHA. This review aims to provide an overview of the lipid fraction of selected fish species, exploring methods of manipulating fatty acid content and discovering the resulting health benefits for dogs and cats. The article discusses innovative methods used to manipulate fatty acid content in fish, including nutritional strategies, selective breeding and new technologies. Based on the current scientific literature, the article synthesizes knowledge on the impact of these manipulation methods on the nutritional quality of fish. Additionally, literature data were presented indicating the positive aspects of including fish in the diet of dogs and cats. EPA and DHA are responsible for a number of health benefits, including supporting the circulatory system, cognitive functions and the learning process, an element of diet therapy in the treatment of cancer, and alleviating pain associated with degenerative joint diseases.
POSSIBLE USE OF PIG MEAT IN DOG AND CAT NUTRITION
Authors:   West Pomeranian University of Technology in Szczecin, Faculty of Biotechnology and Animal Husbandry, Department of Monogastric Animal Sciences, Division of Pig Breeding, PIETRUSZKA Arkadiusz , BIEL Wioletta ,   West Pomeranian University of Technology in Szczecin, Faculty of Biotechnology and Animal Husbandry, Department of Monogastric Animal Sciences,Division of Animal Nutrition nd Food
Published: March 2024

This review aims to provide an overview of the nutritional values and the possibility of pig meat (muscle longissimus lumborum) in dogs and cats nutrition based on a review of scientific literature. Pork is the most common consumed meat both in Poland and in the world. The expanding body of information concerning factors effecting impacts on pork quality was reviewed. Pork is considered valuable due to the content of high-quality proteins, fat and fatty acids, minerals, and other bioactive compounds. The content of these components depends on many factors, including breed, genetic factors, age, but also on the animal’s nutrition. The established views on pork are verified and confirmed by research that the nutritional and health-promoting value of this meat has significantly improved in recent years.
Strategies to Boost Boiler Efficiency and Reduce Operational Downtime
Authors: Fakhrizi Rendy Rakhmad , Mulyadi Mulyadi
Published: March 2024

This study examines the decline in boiler performance, highlighting the imperative of efficient maintenance to prevent operational disruptions and financial losses. The focus is on the analysis of boiler functionality, identifying factors that contribute to reduced efficiency and increased downtime. Utilizing performance data from August 2023, the research documents a significant downtime of 4610 minutes, primarily attributed to mechanical issues and extended recovery periods totaling 1920 minutes. The study also reports a high fuel usage efficiency ratio of 35 Kg/cm3, underscoring the challenges in initial recovery efforts. Despite these setbacks, machine quality metrics indicated no defects, suggesting effective quality control measures. The findings underscore the critical relationship between maintenance strategies and boiler efficiency, proposing that proactive maintenance could mitigate downtime and enhance productivity, thereby supporting sustained operational efficiency.
Highlights:

Maintenance crucial for boiler efficiency and cost savings.
Downtime leads to production delays and financial losses.
Performance metrics indicate operational reliability and effectiveness.

Keywords : Boiler, Maintenance, Operating Time
Improving MRP Precision in Engineering and Manufacturing Sectors
Authors: Ardana Muhammad Rizky , Putra Boy Isma
Published: March 2024

This study evaluates the effectiveness of Material Requirement Planning (MRP) in the engineering and manufacturing sector through a five-month empirical investigation focused on production processes. Utilizing a combination of literature review, interviews, and direct observation, the research aimed to compare theoretical MRP calculations with actual raw material usage. Results highlighted significant discrepancies between projected and actual figures, indicating potential inaccuracies in current MRP applications. These findings underscore the need for refining MRP systems to enhance forecasting precision and inventory management, suggesting that integrating real-time data and improving algorithmic methodologies could bridge the existing gap between theory and practice in industrial manufacturing.
Highlights:

Essential Raw Material Management: Key for timely production and meeting customer needs.
MRP Efficiency: PT. Weiss Tech uses MRP for precise raw material calculations.
Accuracy Assessment: Research evaluates MRP accuracy through literature, interviews, and observation.

Keywords: Raw Materials, MRP, Inventory Control
Libertarian principles of labor law in the member states of the Eurasian Economic Union
Authors: Tomashevskiy K. L.
Published: March 2024

Objective: to define libertarian principles of labor law, to establish their place in the system of labor law, and to identify problems related to their implementation in the law enforcement practice of EAEU member states.Methods: dialectical approach to cognition of social phenomena, allowing to analyze them in historical development and functioning in the context of the totality of objective and subjective factors, which predetermined the following research methods: formal-legal, comparative-legal, and method of specific sociological research.Results: based of natural-law and libertarian concepts of legal understanding, the author formulates a definition of the “libertarian principles of labor law” concept as guiding ideas that embody freedom and underlie the labor law construction. The author determines the vector of its further development in the regulation of labor and associated relations. The main libertarian principles of labor law are proposed and analyzed: a) freedom of labor force movement; b) freedom of labor and the right to work; c) prohibition of forced labor; d) freedom of contract (specified as the principles of freedom of labor contract, freedom of collective bargaining, agreement); e) freedom of association; f) freedom of collective bargaining, freedom of choice in discussing issues within the sphere of labor, voluntariness of the parties’ taking obligations (as the main principles of social partnership). The study results are expressed in theoretical conclusions and assessment of labor legislation of the EAEU countries in terms of the libertarian principles of labor law completely reflected and guaranteed in them.Scientific novelty: the paper is the first to analyze libertarian principles of labor law as a separate group of principles of labor law in the EAEU member states and to reveal the legal nature and system of libertarian principles of labor law.Practical significance: the main provisions and conclusions of the article can be used in scientific, pedagogical and law enforcement activities when considering issues related to the consideration and resolution of labor disputes, in overcoming gaps and legal conflicts in labor legislation.
Praskovya Nikolayevna Tarnovskaya and her contribution to the Russian, European and global criminology: historical and criminological research
Authors: Kabanov P. A.
Published: March 2024

Objective: to describe and evaluate the contribution of Praskovya Nikolayevna Tarnovskaya to the Russian, European and world criminology based on the analysis of her works and expert opinions.Methods: general scientific (analysis, synthesis, comparison, grouping, modeling, interpretation) and special (historical-legal, content analysis of media publications) scientific methods, which are used in modern criminological science.Results: new literary sources were identified and introduced into the scientific turnover, i.e. Praskovya Nikolayevna Tarnovskaya’s works published in the late 19th – early 20th century in Russian and foreign languages and devoted to the issues of combating female criminality. The significant contribution of P. N. Tarnovskaya to the formation and development of the Russian, European and world criminological science was established.Scientific novelty: for the first time in criminological science, the content of a maximum number of literary sources by P. N. Tarnovskaya, one of the founders of the world criminology, published in Russian, French and Italian languages, was assessed. Based on the reviews, commentaries and other information published in scientific periodicals, the author monitored how P. N. Tarnovskaya’s contemporaries assessed her works. A proposal is made to develop a new branch of Russian criminology – historical criminology.Practical significance: the work can be used to prepare textbooks, manuals and other teaching materials on the course “Criminology” and to fill with new content the section “History of the Russian criminology”. It may also be useful for the theoretical development of a new scientific area of the world, European and Russian criminology – historical criminology.
Pathology revolution? No more formalin DNA abuse!
Authors: Hoogland Agnes Marije , Niemantsverdriet Maarten , Knol Ageeth , Starre-Gaal Jose van der
Published: March 2024

Disease diagnosis, prognosis, and therapy choice progressively rely on good-quality DNA for molecular analysis. As tissue processing is routinely performed worldwide with ancient techniques using toxic and DNA-damaging formaldehyde, the quality of DNA isolated from embedded tissues used for diagnostics is poor. We used a novel formalin-free method to process tissues and show that, after 5 years, DNA quality is superior to formalin fixation.
Predicting transcriptional responses to novel chemical perturbations using deep generative model
Authors: Zhao Yi , Qi Xiaoning , Zhao Lianhe , Tian Chenyu , Li Yueyue , Chen Runsheng , Yang Shengyong
Published: March 2024

Understanding transcriptional responses to chemical perturbations is central for drug discovery, but exhaustive experimental high-throughput screening of disease and compound combinations is unfeasible. To overcome this limitation, here we present a perturbation-conditioned deep generative model named PRnet for predicting transcriptional responses to novel chemical perturbations that were never experimentally perturbed at bulk and single-cell levels. Evaluation indicated that PRnet outperformed alternative methods in predicting responses across novel compounds, pathways, and cell lines. PRnet enables gene-level response interpretation and novel compounds screening for diseases based on gene signatures. PRnet further identified and experimentally tested novel compounds candidates against small cell lung cancer and colorectal cancer. Lastly, PRnet generated a large-scale integration atlas of perturbation profiles, covering 88 cell lines and 52 tissues perturbed by various screening compound libraries. PRnet provided a robust and scalable candidate recommendation workflow and has successfully recommended drug candidates for 233 different diseases based on the atlas. Overall, PRnet is an effective and valuable tool for cell- and gene-based therapeutics screening.
Development and validation of a novel bone metastasis-associated prognostic model for breast cancer
Authors: Huang Shilei , Cao Xiaobin , Liu Jingjing , Ji Xiang , Han Yu , Wu Xuejian
Published: March 2024

Background
Bone is the main location where breast cancer spreads, which can greatly impact the outlook and well-being of those affected by the disease. Novel targets are crucial in clinical practice as traditional treatment for breast cancer patients with bone metastases is mostly futile. Current therapy for bone metastases in breast cancer patients is hindered by a lack of understanding of the root causes.
Methods
We created a prognostic bone metastasis signature called PABMS. The Prognostic Analysis of Bone metastases Score (PABMS) utilised genes associated with bone metastases to forecast the overall prognosis of breast cancer patients. The clinical significance and immunological environments of the signature were exhaustively examined.
Results
Differentially expressed genes (DEGs) associated with bone metastasis were identified by utilising data from the GSE14666 database in order to distinguish disseminated tumour cells (DTCs) from metastatic tumour cells (MTCs). The bone metastasis-related signature (PABMS), comprised of four genes (ZER, SBK1, L1CAM, and CXCL1), was identified. This signature exhibited a robust correlation with the overall survival of patients diagnosed with breast cancer. This was ascertained through the analysis of transcriptome data from a specific cohort of patients. The efficacy of the four-gene signature in distinguishing bone metastases was validated through the examination of protein levels in an independent cohort. There was a significant correlation between a high-risk score and an extremely adverse patient outcome, according to the findings. Stratification analysis and multivariate Cox regression demonstrated that the PABMS functioned independently as a prognostic factor. Risk score was found to positively correlate with the antigen-presenting process, inflammatory response, and expression levels of many immunosuppressive checkpoint molecules (PD-1, B7-H4, galectin-9, and FGL-1). The findings suggested that patients at high risk exhibited inhibition of the immune response.
Conclusion
This work created a practical signature using differentially expressed genes associated with bone metastases. This attribute has the potential to function as a highly effective predictive instrument and contribute to the enhancement of the cancer therapy methodology.
Improvement of Physicochemical Properties of Refined Peanut Oil with Dried Olive Leaf: Gray Scale Optimization
Authors: GAMLI Omer Faruk , kaya Yoncagul yavas
Published: March 2024

Peanut is a well-known lipid and protein source for nutrition and its oil is considered to be nutritious and healthy, owing to its fatty acid composition and the presence of natural bioactive components. Olive leafs are the major by-products of oil processing and its industry. The phenolic content of peanut oil was 78.15 and varied between 271.8 and 431.6 mg GAE/kg depending on the increasing amount of olive leafs respectively (2.5-7.5%). The scavenging activity of peanut oil was as 3.8% and varied between 40.17,82.5 and 91.01% respectively. The effects of olive leaf amount and storage time on the extinction coefficients of peanut oils (K225,K232 and K270) were statistically insignificant whereas PV (meO2/kg), total and free acidities (%) of peanut oils were affected significantly. Chlorophyll a and b values of refined peanut oils varied between 0.69 and 1.238 (mg/L);0.14 and 1.195 8-(mg/L) respectively. Olive leafs caused statistically decreased L* values but increased a* and b* values.
InGaN-based Blue Resonant Cavity Micro-LED Combined with Red-Green-Yellow Quantum Dot Color Conversion Layer for Wide Color Gamut and Energy- Efficient Full-Color Displays
Authors: Lee Tzu-Yi , Huang Chien-Chi , Hung Yu-Ying , Chen Fang-Chung , Hong Yu-Heng , Kuo Hao-Chung
Published: March 2024

The technology of RGBY micro resonant cavity light emitting diodes (micro RCLEDs) based on quantum dots (QDs) is considered one of the most promising approaches for full-color displays. In this work, we propose a novel structure combining a high color conversion efficiency (CCE) QD photoresist (QDPR) color conversion layer (CCL) with blue light micro RCLEDs, incorporating an ultra-thin yellow color filter. The additional TiO2 particles inside the QDPR CCL can scatter light and disperse QDs, thus reducing the self-aggregation phenomenon and enhancing the eventual illumination uniformity. Considering the blue light leakage, the influences of adding different color filters are investigated by LightTools(8.6) illumination design software. Finally, the introduction of low-temperature atomic layer deposition (ALD) passivation protection technology at the top of the CCL can enhance the device reliability. The introduction of RGBY four-color subpixels provides a viable path for developing low-energy consumption, high uniformity, and efficient color conversion displays.
Techno-economic evaluation of soap production from waste cooking oil with additives derived from citrus peel waste.
Authors: Mwamba Beatrice Walelu , Brobbey Mensah Sarpong , Leodolff Bianke , Peters Shaun , Teke George Mbella , Mapholi Zwonaka
Published: March 2024

In the pursuit of sustainable waste management practices, this study explores the technical and economic feasibility of soap production using waste cooking oil (WCO) combined with citrus peel waste (CPW), with a specific focus on extracting limonene as soap additives. The preliminary experimental investigations indicated that soaps produced from WCO have similar qualities if properly treated, compared to those produced from virgin oils. Also, including limonene effectively addresses WCO odours and demonstrates a promise of anti-microbial properties against E.coli. From the comprehensive techno-economic evaluation of WCO-based soap production, a focus on industrial symbiosis by integrating CPW-derived limonene is necessary. Results show that soap production with WCO and on-site additive in limonene (scenario 3) was competitive, with an IRR of 19% compared to 16% when the soap was produced using WCO and the additives were purchased (scenario 4). Also, the minimum selling prices of soaps were comparable for scenarios 3 (R 160.53/kg) and 4 (R 159.87/kg), further building on the economic viability of on-site limonene production. Hence, the environmental potential and economic viability of integrating WCO and CPW into soap production seem to be a profitable approach should on-site production be implemented.
Optimization of traction parameters for lumbar scoliosis
Authors: He Wei , Li Jialong , Wang Jiayu , He Da , Song Kai
Published: March 2024

Background Scoliosis is a high incidence disease that endangers the physical and mental health of adolescents. Traction therapy, as a conservative treatment plan, is helpful to improve the recovery speed of patients by studying the influence of different traction factors on the therapeutic effect.
Methods Based on the thin layer CT data of the lumbar spine of a 16-year-old patient with scoliosis, Mimics21.0 was used to extract the 3D digital model, and Geomagic Wrap2021 was used to perform the smooth surface. After that, SolidWorks was used to manually construct the structures, such as the intervertebral disc, and Ansys17.0 was used to add constraints, ligaments, and other features. Three-factor ANOVA was carried out after an orthogonal experiment that considered traction mode, traction angle, and traction force was finished.
Results ① A three-dimensional biomechanical model of lumbar scoliosis was created.② The model's correctness was confirmed by comparing it to the corpse and other finite element models, as well as by verifying it under a range of working settings.③Traction force (P=0.000), traction angle (P=0.000), the interaction between traction force and traction angle (P=0.000), and the interaction between traction mode and traction angle (P=0.045) were all significant.④The interaction between traction force and traction angle has the most significant effect on Cobb, and traction with a certain angle is better than traditional axial traction.⑤ Traction mode is not significant, but the interaction between traction mode and traction angle is significant.
Conclusions A certain angle of traction can aid in improving outcomes and the traction force can be suitably decreased in the clinical formulation of the traction plan. The uniformity of correcting effect is more favorable when higher fixation techniques like positive suspension or traction bed traction are used, as opposed to overhanging traction.
Analysis of integrating PIK3CA and NF1 mutations into Glioblastoma multiforme prognostication and immunotherapy treatment strategy
Authors: Chen Qinbiao , Lu Huijiao , Zhong Cheng
Published: March 2024

Objective
The potential mechanisms of PIK3CA and NF1 expressions in GBM have been poorly elucidated. Risk-score analysis combined with clinicopathological characteristics to assess the prognostic value and immunotherapy efficacy of 6-genes signature.
Methods
We performed the whole exosome sequencing profiling on samples form patients with GBM. The association of PIK3CA and NF1 expression within the GBM have received cross-validations by MR methods and the risk-score analysis of 6-gene signature. The construction of 6 genes prognostic signature based on The Cancer Genome Atlas (TCGA) GBM cohort, the Gene Expression Omnibus (GEO), and IMvigor210 cohort.
Results
MR study demonstrated that PIK3CA and NF1 expressions were closely related with the risk of GBM patients by the IVW method. And then the construction of 6-gene signature was classified into high-risk and low-risk groups through the median risk-score of regression formula to predict prognosis of GBM patients. Kaplan-Meier survival showed the overall survival of distinct high- and low-risk groups. Receiver operating characteristic (ROC) curve analysis indicated the value of predictive performance of two different risk groups. In line with our WES reporters, our findings showed that the mutation of PIK3CA and NF1 was significantly associated with prognostic signature of GBM. Importantly, the individual altered gene took effect on response or resistance to ICB, such as PIK3CA. Consistent with our analysis about study individual mutations and their role in cancer immunotherapy, which might provide a novel insight on the mechanism of PIK3CA and NF1 mutation in the GBM.
Conclusions
Taken together, our MR analysis indicated the correlation between PIK3CA and NF1 expression and GBM disease, which provided a key basis for the precise prevention of the genetic mutation in the occurrence and development of GBM. The established PIK3CA and NF1 alteration-related prognostic signature was involved well in prognosis prediction as well as closely linked with immunotherapy responses. which also provided a novel and great potential in future clinical applications.
Harnessing Ligno Cellulose and Cellulose Derivative Residues for Sustainable Biomethanation With Effect of Different Transformation in Rsm Optimization
Authors: Kanakasabai p , Mahri Ahmed Said Salim Qahoor Al , Sivamani S , Qahoor Noor Mohammed Said , Banerjee Saikat
Published: March 2024

Biogas technology stands out as a viable energy alternative in rural areas, acclaimed for being an exemplary appropriate technology that addresses the fundamental need for fuel. By utilizing discarded and lingo cellulose derivatives such as potato peel waste sourced from vegetable markets, this technology harnesses energy in the form of biogas enriched with a high methane content. The anaerobic bacteria play a pivotal role in converting and peel wastes into biogas through a synergistic process. Crucial considerations for the biomethanation process encompass process parameters like substrate concentration, substrate and cell mass concentration. Simultaneously, kinetic parameters such as maximum specific growth rate, kinetic constant, and ultimate methane yield take precedence in the anaerobic digestion process for efficient biogas production. This study endeavors to explore the anaerobic reactions of potato and potato peel wastes within a semi-batch digester. Variations in substrate concentrations and different substrates significantly impact biogas production, leading to the development of a mathematical interpretation of the biomethanation process. Between 33.16 and 38.68 MJ/Nm3 of biogas is the energy yield obtained from this procedure. Through a meticulous mathematical analysis of experimental data, model equations correlating ultimate methane yield with diverse substrate concentrations and loading have been formulated.
Convexity non-aneurysmal subarachnoid hemorrhage caused by cerebral sinus thrombosis: a case report and literature review
Authors: Abasi Ali , Moradkhani Asra , Rahimi Shiva , Magrouni Hannah
Published: March 2024

Background: Convexity subarachnoid hemorrhage (cSAH) is an uncommon presentation of subarachnoid bleeding, referring to bleeding more localized to the convexities of the brain. The diagnosis of cerebral venous sinus thrombosis (CVST) can be difficult especially when patients initially present with cSAH. The authors present a case and then discuss the pathophysiology and management.
Case presentation: A 56-year-old woman with a previous history of hypertension and ischemic heart disease presented to the emergency department after experiencing it. two seizures following a severe headache. The patient’s history was negative for recent illnesses, head trauma, history of migraines, smoking, alcohol consumption, or intravenous drug use. The patient was diagnosed with CVST based on magnetic resonance venography (MRV). Genetic studies further identified homozygous mutations in the Prothrombin and MTHFR genes. Anticoagulant therapy was initiated with 60 mg of Enoxaparin twice daily and subsequently transitioned to Warfarin after 48 hours continued for 3 months, and then replaced by rivaroxaban.
Conclusions: CVST should be considered in the differential diagnosis of patients presenting with cSAH. Considering this point emphasizes the necessity of concurrent diagnosis and management.
A Price Too High: Injury and Assault Among Delivery Gig Workers in New York City
Authors: Laskaris Zoey , Hussein Mustafa , Stimpson Jim P , Vignola Emilia F , Shahn Zach , Cohen Nevin , Baron Sherry
Published: March 2024

The occupational health burden and mechanisms that link gig work to health are understudied. We described injury and assault prevalence among food delivery gig workers in New York City (NYC) and assessed the effect of job dependence on injury and assault through work-related mechanisms and across transportation modes (electric-bike and moped versus car). Data was collected through a 2022 survey commissioned by the NYC Department of Consumer and Worker Protection among delivery gig workers between October and December 2021 in NYC. We used modified Poisson regression models to estimate the adjusted prevalence rate ratio associations between job dependence and injury and assault. Of 1,650 respondents, 66.9% reported that food delivery gig work was their main or only job (i.e., fully dependent). About 21.9% and 20.8% of respondents reported being injured and assaulted, respectively. Injury and assault were more than twice as prevalent among two-wheeled drivers in comparison to car users. Fully dependent respondents had a 1.61 (95% confidence interval (CI): 1.20, 2.16) and a 1.36 (95%CI: 1.03, 1.80) times greater prevalence of injury and assault, respectively, than partially dependent respondents after adjusting for age, sex, race and ethnicity, language, employment length, transportation mode, and weekly work hours. These findings suggest that fully dependent food delivery gig workers, especially two-wheeled riders, are highly vulnerable to the negative consequences of working conditions under algorithmic management by the platforms. Improvements to food delivery gig worker health and safety are urgently needed and company narratives surrounding worker autonomy and flexibility need to be revisited.
Assessment of Functional Outcomes and Quality of Life after Thoracic and Lumbar Spinal Metastasis Surgery
Authors: Abousayed Mahmoud , Taha Hossam Salah , Elsayed Raafat , Salem Mostafa Salahdin , Ebeid Walid
Published: March 2024

BACKGROUND
Spinal metastases are being diagnosed more frequently because of increasing life expectancies and advances in the diagnosis and treatment of primary tumors.
OBJECTIVE
The aim of this study was to assess functional outcome and quality of life after surgical management for patients with spinal metastases.
METHODS
A total of thirty-three patients with thoracic and lumbar spine metastases underwent surgical management at Kasr Al Ainy Hospital, Cairo University, between November 2021 and August 2023, with one year of follow-up or until death in a prospective cohort study. For the functional outcome, the Eastern Cooperative Oncology Group Performance Status (ECOG-PS) was analyzed.
RESULTS
The mean age was 52.12 ± 13.4 years (range 23–70 years), 22 (66.7%) were females, and 11 were males (33.3%). Patients were divided into 3 groups according to the revised Katagiri score: 12 patients (36.4%) were at low risk (0 to 3), 18 patients (54.5%) were at intermediate risk (4 to 6), and 3 patients (9.1%) were at high risk (7 to 10). The mean survival was 5.44 ± 3.46 months (range 1–13), and there was no perioperative death (within one month postoperative). Sixteen patients (48.5%) survived for more than one year, and 17 patients (51.5%) died from different causes related to the natural history of tumor metastasis.
CONCLUSION
We concluded that with proper patient selection and appropriate planning and care for patients with spinal metastases, surgical intervention can improve quality of life and function. However, the clinical course of patients who survive there after surgery remains unclear. Therefore, additional long-term studies are needed.
Drug repurposing Based on the DTD-GNN Graph Neural Network: Revealing the Relationships among Drugs, Targets and Diseases
Authors: Li Wenjun , Ma Wanjun , Yang Mengyun , Tang Xiwei
Published: March 2024

Motivation: The rational modelling of the relationship among drugs, targets and diseases is crucial for drug retargeting. While significant progress has been made in studying binary relationships, further research is needed to deepen our understanding of ternary relationships. The application of graph neural networks in drug retargeting is increasing, but further research is needed to determine the appropriate modelling method for ternary relationships and how to capture their complex multi-feature structure.
Results: The aim of this study was to construct relationships among drug, targets and diseases. To represent the complex relationships among these entities, we used a heterogeneous graph structure. Additionally, we propose a DTD-GNN model that combines graph convolutional networks and graph attention networks to learn feature representations and association information, facilitating a more thorough exploration of the relationships. The experimental results demonstrate that the DTD-GNN model outperforms other graph neural network models in terms of AUC, Precision, and F1-score. The study has important implications for gaining a comprehensive understanding of the relationships between drugs and diseases, as well as for further research and application in exploring the mechanisms of drug-disease interactions. The study reveals these relationships, providing possibilities for innovative therapeutic strategies in medicine.
Design and experiment of impeller seed guide device for rice internal suction hole direct seeding device
Authors: Shang Yansong , Zhou Bo , Yang Jitao , Zhang Shun
Published: March 2024

Hole seeding and uniform hole spacing are important agronomic evaluation indexes of rice precision hill-direct-seeding metering device. Based on the principle of internal suction seeding, this paper innovatively designs an impeller seeding device. The main structural parameters of the impeller seed guide device were analyzed by constructing the kinematics model of the rice seed in the impeller seed guide process. The effects of impeller radius, blade offset angle and seeding angle on the performance of the seed guide device were studied by bench seeding test. The seed-guiding experiments of different sizes of seeds show that the impeller has better hole-forming and seed-guiding performance than the traditional seed-guiding tube. The impeller seed guiding device proposed in this paper can improve the performance of fixed-distance multi-grain hill-seeding in the tubular seed guiding device, it provides a reference for the design of seed guide device for multi-grain bunching crop seed metering device.
Shrinkage for Extreme Partial Least-Squares
Authors: Arbel Julyan , Lorenzo Hadrien , Girard Stéphane
Published: March 2024

This work focuses on dimension-reduction techniques for modelling conditional extreme values. Specifically, we investigate the idea that extreme values of a response variable can be explained by nonlinear functions derived from linear projections of an input random vector. In this context, the estimation of projection directions is examined, as approached by the Extreme Partial Least Squares (EPLS) method--an adaptation of the original Partial Least Squares (PLS) method tailored to the extreme-value framework. Further, a novel interpretation of EPLS directions as maximum likelihood estimators is introduced, utilizing the von Mises-Fisher distribution applied to hyperballs. The dimension reduction process is enhanced through the Bayesian paradigm, enabling the incorporation of prior information into the projection direction estimation. The maximum a posteriori estimator is derived in two specific cases, elucidating it as a regularization or shrinkage of the EPLS estimator. We also establish its asymptotic behavior as the sample size approaches infinity. A simulation data study is conducted in order to assess the practical utility of our proposed method. This clearly demonstrates its effectiveness even in moderate data problems within high-dimensional settings. Furthermore, we provide an illustrative example of the method's applicability using French farm income data, highlighting its efficacy in real-world scenarios.
MSC 2020 subject classification: 62G32, 62H25, 62H12, 62E20.
Contracaecum jorgei Sardella, Mancini, Salinas, Simões & Luque, 2020 (Nematoda: Anisakidae) in common snooks Centropomus undecimalis (Bloch, 1792) in southeastern Brazil: new host, locality record and remarks on misidentifications of Contracaecum spp. in Genbank
Authors: Duarte Rayane , Martinatti Bruna Reich , de Lima Viviane Moreira , Tubino Rafael de Almeida , Oliveira Mariana de Souza , Berto Bruno Pereira , Santos-Clapp Michelle Daniele
Published: March 2024

In the current study, Contracaecum jorgei Sardella, Mancini, Salinas, Simões & Luque, 2020 is reported from the common snook Centropomus undecimalis (Bloch, 1792) in the Rodrigo de Freitas lagoon in the State of Rio de Janeiro, southeastern Brazil. This anisakid species was recently described in wolffish in Argentina. Through comparative analyzes of genetic sequences deposited in GenBank with the sequencing of a locus of the cytochrome oxidase subunit 2 (cox2) gene provided in the present study, the identification of C. jorgei was confirmed, at the same time that misidentified sequences of Contracaecum spp. were observed. These misidentified sequences were then discussed and reevaluated, expanding the reports of C. jorgei and, consequently, its geographic distribution in the Neotropical region. Finally, the current study highlights the importance of the findings and study of anisakid nematodes in commercial fish for the monitoring and prevention of human anisakiasis, which is openly neglected or confused with other gastrointestinal diseases worldwide.
Efficient Composite Model to Detect Facial Paralysis using Generative Adversarial Network and Facial Key Points Analysis
Authors: Naganjaneyulu Satuluri , Srinivasa Narisetty , Sesha Srinivas. , Mahmood Ali Mirza
Published: March 2024

Facial paralysis is the inability of one or both sides of the face's muscles to move, and it can impair a person's ability to talk, blink, swallow saliva, eat, or express themselves naturally with their faces. To detect this facial paralysis, the best technique is facial key point analysis. Even though it is the best technique, there are several limitations and drawbacks of facial key point analysis, including limited diversity, sensitivity to lighting, occlusion, pose variability, real-time performance, privacy concerns, etc. This paper proposes a method to overcome the limitation of light sensitivity, making it possible for facial key point analysis to detect key points on the face. In this paper, a composite model is implemented using a "generative adversarial network" (GAN) and "facial key point analysis". GAN is implemented to make the facial picture into a high-resolution picture. This GAN output is given for the input of the facial key point analysis. Facial key point analysis is the process of identifying and tracking specific points on a person's face, such as the corners of the mouth, the tip of the nose, and the eyebrows, to understand the movements and expressions of the face. The results of this composite model help detect facial paralysis more efficiently and accurately than before.
EGFR-TKIs with or without Stereotactic Body Radiotherapy to Primary Lesion in the Advanced EGFR-Mutated Non- Small Cell Lung Cancer
Authors: Yuan Ze , Tao Dan , Yang Dingyi , Jiang Yong , Munai Erha , Zeng Siwei , Wang Dehuan , Wang Qiang , Zhou Wei , Wu Yongzhong
Published: March 2024

Background: Advanced non-small cell lung cancer (NSCLC) harboring epidermal growth factor receptor (EGFR) mutations presents a clinical challenge due to eventual resistance to EGFR tyrosine kinase inhibitors (TKIs). This study aimed to evaluate the efficacy and safety of combining EGFR-TKI therapy with stereotactic body radiotherapy (SBRT) to primary lesions in treating EGFR-mutant NSCLC patients.
Methods: A retrospective analysis was conducted on 58 EGFR-mutant NSCLC patients treated between 2018 and 2023. Patients were divided into two groups: EGFR-TKI alone (n=43) and EGFR-TKI combined with SBRT (n=15). Clinical outcomes were assessed, including progression-free survival (PFS), overall survival (OS), and treatment-related toxicities. Statistical analyses were performed to compare the effectiveness of the treatment modalities.
Results: A total of 485 patients with advanced NSCLC were screened, and 58 patients were eligible for enrollment in this study. Of the 58 eligible patients, 15 (25.9%) received EGFR-TKI treatment alone and 43(74.1%) received EGFR-TKI treatment plus with SBRT to lung primary tumor. The TKIs plus SBRT group exhibited a significant extension in PFS compared to the TKIs alone group (not reached vs 10.2 months, p < 0.001). Multivariate analysis identified SBRT as the sole significant positive predictor for PFS. Adverse event profiles were comparable between groups, with manageable toxicities and no Grade 4-5 events reported. Meta-analysis revealed that combined TKI and SBRT treatment significantly improved PFS (HR 0.39, 95% CI 0.24-0.64, P < 0.001) but showed no significant OS benefit. After excluding retrospective studies, a significant OS benefit was observed. (HR 0.47, 95% CI 0.33-0.69, P < 0.001). No increased incidence of grade ≥3 AEs with SBRT was observed, but the TKIs plus SBRT group had higher probabilities of pneumonitis and radiation dermatitis than the TKIs alone group.
Conclusions: Our study suggests that the addition of SBRT to EGFR-TKI therapy significantly extends PFS and OS in EGFR-mutant NSCLC patients. The results emphasize the potential of combining local radiotherapy with targeted therapy, offering a promising approach to improve outcomes in this patient population.
Investigating the Impact of Institutional Quality Under the Petroleum Price Deregulation Policy Regime on the Economic Growth of an Emerging Economy
Authors: Sackey Frank Gyimah , Orkoh Emmanuel , Musah Mohammed
Published: March 2024

The importance of institutional quality as a means of influencing economic growth is being given much attention. This paper examines the extent to which institutional quality under the price deregulation policy impacts GDP growth. The study employs the Bayesian linear regression and the auto regressive distributed lag (ARDL) models in estimating a quarterly data that spans from the first quarter of 2005 to the fourth quarter of 2020. We observe that petroleum prices impact positively on GDP growth but only in the long run while inflation impacts negatively on GDP growth in the short run. Again, we observe a short run positive relationship between foreign direct investment and GDP growth. While institutional quality impacts positively on GDP growth in the short run but negatively in the long run, the interactions of petroleum prices and institutional quality on the other had reduces GDP growth in the short run but tend to increase GDP growth comparatively more than the decrease in the short run suggesting that institutional quality under the price deregulation policy impacts on GDP growth in the long run.
Design and Development Writing Robot Using Speech Processing for Medical Prescription
Authors: Boddu IndraSena Reddy , Akkala Subba Reddy , V Vijayakumar
Published: March 2024

The paper's main goal is to outline the direction and the process for creating swift, fluid movements for a universal robot that can write like a doctor signs a prescription. The majority of consumers and certain pharmacists find it difficult to understand a handwritten prescription from a doctor; this issue can have unfavorable consequences if the prescription is misread Prescriptions can be confusing since doctors often employ Latin and medical phrases that are abbreviated and difficult for the general public to understand. To complete the work, online human signature criteria must first be devised. Robot signatures are then produced as a result of writing robots in compliance with these recommendations. Finally, suggestions for improving robot movement are provided.