bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Validation of a Nomogram Combined with Albumin and Neutrophil-to-Lymphocyte Ratio Predicting Postoperative Complications after Resection of Colon Cancer
Authors: Wu Jiayao , Zou Jun , Wang Kan , Yang Shuting , Huang Haoquan , Wang Chengli 
Published: June 2022

Abstract
Purpose: The aim of this study was to construct and validate a predictive model combined with albumin and neutrophil-to-lymphocyte ratio (NLR) to predict postoperative complications in patients underwent colon cancer resection.Methods: We performed a retrospective cohort study of all patients undergoing resection of colon cancer between January 2019 and June 2021 at Sun Yat-sen Memorial Hospital. The general clinical characteristics and systemic inflammatory marker including lymphocytes and neutrophils were gathered retrospectively. The main outcome variables were postoperative complications. Logistic regression analyses were conducted to identify the in potential risk factors that predicting postoperative complications after resection of colon cancer. Nomograms with or without albumin/neutrophil-to-lymphocyte ratio socre (ANS) for postoperative complications were further constructed according to the results of multivariable logistic regression analysis adopting Akaike information criterion.Results: The preoperative ANS score and intraoperative blood transfusion were determined as independent risk factors predicting postoperative complications. The nomogram including preoperative ANS score had higher C-index (0.821) and also better calibration. Conclusions: The preoperative ANS score is an effective predictor and one of independent potential risk factors for postoperative complications after resection of colon cancer. The nomogram with preoperative ANS score was constructed with better capability predicting postoperative complications.
Synthesis of a New Hydrogel Based on Tragacanth Gum with Emphasis on Its Agricultural Potential
Authors: sodkouieh Somayeh Mohamadi , Kalantari Maryam 
Published: June 2022

Abstract
Hydrogels are cross-linked three-dimensional polymer networks capable of absorbing high amounts of water or biofluids. Polysaccharide-based hydrogels have attracted the attention of researchers due to their great biocompatibility. In this research, a low-cost and eco-friendly polysaccharide, tragacanth gum, was used to develop a new hydrogel with emphasis on its application in the field of agriculture. The effective factors such as temperature, pH, time, and crosslinker content were optimized to maximize the swelling capacity of the product. The maximum water absorption of the synthesized hydrogel reached 490 g.g− 1. The synthesized hydrogel was investigated by FT-IR, TGA, FESEM, and XRD techniques. The ability of the hydrogel to save agricultural water was assessed by measuring water holding (WH) capacity and water retention (WR) ratio. The presence of 2 wt.% hydrogel in the soil enhanced its WH by 22%. The WR ratio after 20 days was 29% for the soil containing 2% hydrogel while the blank sample lost all its water. Also, the effect of hydrogel on soil fertility was assessed by planting barley seeds in the soil with and without hydrogel, which resulted in a 6.5-fold enhancement in plant growth in the presence of hydrogel.
Efficient Multi-Constrained Task Allocation in Smart Warehouses
Authors: Oliveira George S. , Röning Juha , Carvalho Jônata T. , Plentz Patricia D. M. 
Published: June 2022

Abstract
The multi-robot task allocation (MRTA) is an NP-hard problem whose viable solutions are usually found by heuristic algorithms. Considering the growing need for improvements in logistics, using robots to increase warehouse management’s efficiency is an essential demand. In smart warehouses, the main tasks involve employing a fleet of automated picking and mobile robots that coordinate by picking up items from a set of orders from the shelves and dropping them at delivery stations. The complexity of multi-robot task allocation arises mainly due to: (i) environmental aspects, such as multi-delivery stations and dispersed robots; and (ii) fleet heterogeneity. Despite these properties having been widely researched in the literature, they are commonly investigated separately. Also, many algorithms are not scalable for problems with thousands of tasks and hundreds of robots as those currently found in logistic warehouses. This work presents a scalable and efficient task allocation algorithm for smart warehouses with multi-delivery stations and heterogeneous fleets, called Dynamic Domain Zone based Capacity and Priority constrained Task Allocator (DoNe-CPTA). Our strategy employs a novel cost estimator to create groups of dominant tasks and thus optimize task allocation and reduce execution time and number of robots. Experiments have compared our method with the state-of-the-art algorithm in a series of benchmarks that simulate the operation of smart warehouses with multiple delivery stations and heterogenous fleets. Results show that DoNe-CPTA generated routes with 33% lower cost, running 96% faster than the state-of-the-art algorithm. Experiments also check out settings with single-delivery stations and non-dispersed robots, where DoNe-CPTA reduced the number of robots by up to 18%, running 92% faster without increasing route costs.
In the need of self-regulated learning interventions in medical students: a systematic review
Authors: Cohaila Javier Alejandro Flores 
Published: June 2022

Abstract
Background: The new quality standards for the evaluation of future physicians require new tools, among which self-regulated learning is a promising area, so it is necessary to establish what interventions can be made to promote it.Objectives: To analyze the contributions of research conducted on interventions and training programs on self-regulated learning skills in medical students.Methods: A systematic review was conducted following PRISMA statement, the search includes Web of Science (WOS), EBSCO, Proquest, Scopus, Pubmed and Scielo from 2009 to 2022, of the 362 articles identified, 7 were selected for our evaluation.Results: Most of the studies conducted with interventions were longitudinal (n=4), the remaining three were randomized clinical trials, the country that contributed the most literature was the United States and no articles were found on interventions in Latin American countries, the most used instrument was the Motivated Strategies for Learning Questionnaire (MLSQ), most of the interventions were heterogeneous but in two studies Self-regulated learning skills were taught explicitly.Conclusions: There is a large field to explore with respect to interventions to foster self-regulated learning in medical students, and these future studies should seek to standardize our approach to promoting these skills in order to maximize the impact of self-regulated learning on the performance and well-being of our students.
Has the Least Developed Countries' Services Waiver been effective in promoting Services Exports in Least Developed Countries?
Authors: GNANGNON Sèna Kimm 
Published: June 2022

Abstract
In 2011, Trade Ministers of the World Trade Organization (WTO) adopted a Decision (referred to as "LDC Services Waiver") that allows WTO Members to accord preferential treatment to services and service suppliers originating in least developed countries (LDCs). In 2013, Ministers adopted another Decision to operationalize the 2011 Decision. The present paper has examined whether the Waiver Decision has been effective in promoting LDCs' commercial modern and traditional services exports. It uses a set of 44 LDCs over the period from 2005 to 2019, and the Difference-in-Difference framework along with the two-step system generalized method of moments estimator. The Difference-in-Difference framework allows examining how LDCs performed in terms of modern and traditional services exports compared to a control group of countries (i.e., a group that did not benefit from the Waiver), after the operationalization of the Waiver Decision compared to the preceding period. The control group is the Low-Income Countries (designated as such by the International Monetary Fund) from which LDCs (as defined by the United Nations) are excluded. The analysis has revealed that in very low-income LDCs, the Waiver promoted both modern services exports (although to a lesser extent than in relatively higher per capita income LDCs) and traditional services exports, while it reduced traditional services exports in LDCs with a relatively higher per capita income. Meanwhile, the services exports effects of the Waiver depended on countries' characteristics, including the population size and volume of foreign direct investment (FDI) inflows. In particular, countries that received higher FDI inflows increased their modern services exports at the expense of traditional services exports.JEL Classification: F14; L80.
Simultaneous and rapid removal of Safranin O (SO) and Basic blue 41 (BB) dyes by sulfonated polyacrylamide (PAA-SO3H) as super-adsorbent, isotherms, and kinetics studies
Authors: Zare Mohammad Ali , Jamali Zahra , Fadavi Abdulhamid , Sanaye Reza , Vafa Ehsan , Iranpour Maryam 
Published: June 2022

Abstract
As a result of their environmental importance, dyes are now one of the most pressing environmental issues. Sulfonated polyacrylamide has been synthesized and fully described, applying FTIR technique. The goal would be delving into the nature of simultaneous ultrasound removal of SO and BB dyes. It could lead to an efficient super-adsorbent for industrial dye processing. Optimization of parameters was conducted using central composite design (CCD) with response surface methodology (RSM). The pH value of 7.9, contact time of 2 minutes, adsorbent dose of 0.008 g, and SO and BB concentrations of 362.02 and 420.45 mg/L were found to be the optimal conditions for dye removal. Adsorption is an ideal approach method for preserving dyes from aqueous industrial wastes because of high efficiency, cost-effectiveness and simplicity. An acceptable degree of consonance between experimental and calculated values was arrived at. High percentage removal (90.01% and 99.95%) of SO and BB in short time (2.16 min) were recorded through the application of an ultrasound-assisted adsorbent (0.008g). Freundlich model shows the proper agreement with the experimental data of both dyes, and the maximum adsorption capacities were 20000 and 8334.0 mg/g for SO and BB, respectively.
Controllability and stability capacity of a roll pair motion research
Authors: Khusanov Kakhramonjon 
Published: June 2022

The process of deriving the equation of the perturbed motion of a roll pair during the processing of leather material is discussed in the article, taking into account the influence of dynamic factors. It is shown that one of the reasons for the unstable stress state on the contact surfaces in the roller mechanism are dynamic factors arising from inaccuracies in the manufacture of its individual parts, assembly defects, and the occurrence of an oscillatory process in the roller mechanism, as well as due to the non-uniform thickness of the processed material at its gripping during starting and stopping the machine. Methods for determining optimal controls are shown; they provide asymptotic stability of the unperturbed motion of a roll pair and the torque applied to the upper roll as a function of generalized coordinates.It is shown that the width of the contact strip of the clamp, which depends on the radii of the rolls and the hardness of the coatings, has a significant effect on the efficiency of the rolls. The larger the shaft radius, the lower the actual pressure per unit contact area.
It is shown that the squeezing efficiency increases with the improvement of the conditions for the removal of the squeezable liquid from the rolls (with their horizontal arrangement), with an increase in its temperature and a decrease in viscosity. Efficiency decreases with increasing material speed and thickness.
It is shown that the width of the contact strip of the clamp, which depends on the radii of the shafts and the stiffness of the coatings, has a significant impact on the efficiency of the shafts. The larger the shaft radius, the lower the actual pressure per unit contact area
The development of Fresnel lens concentrators for solar water heaters: a case study in tropical climates
Authors: Asrori Asrori , Susilo Sugeng Hadi 
Published: June 2022

This paper discusses the application of Fresnel Lens Concentrator for Solar Water Heater which is a case study in Indonesia. The purpose of this study was to find an empirical equation of the relationship between Direct Normal Irradiance (Ib) and focal point temperature (Tf). The research location is Latitude: 7.9553 °S and Longitude: 112.6145°E. The SM-206 solar power meteris used.The Fresnel lenses are made of PMMA material. Its specifications are: diameter=1000 mm; weight=2 kg; thickness=2 mm; groove pitch=0.5 mm and focal length=880 mm.The main experimental setup consists of a PMMA Fresnel lens and a receiver. The conical cavity receiver has specifications; geometric concentration ratio,CRg=8, and V=2 Liters. Temperature measurement is done using a temperature data acquisition system. The K-type thermocouple is used to measure:
1) ambienttemperature (Ta);
2) the focal point temperature (Tf);
3) receiverwall temperature (Tr);
4) watertemperature (Tw).
The experiment obtained the results of the empirical equation for the relationship between Direct Normal Irradiance (Ib) and focal point temperature (Tf). The increase in solar radiation produces a focus temperature, exponentially. At DNI 858 W/m2 it can produce a focal temperature of up to 1064 °C. The efficiency of the receiving cavity of the thermal cone which contains 2 litres of water and CRg=8 under conditions of relatively Direct Normal Irradiance ( =675 W/m²) is about 10.61 %. Furthermore, the energy that can be generated in heating water is 0.17–0.32 MJ, in 100 minutes. Heat convection and radiation loss can be reduced by adding an insulating layer to the walls and coating the surface with black
Sulfolobus Solfataricus Chaperonin Prevents Lysozyme from Aggregating During Refolding and During Heat Denaturation
Authors: Guagliardi Annamaria , Cerchia Laura , Rossi Mose 
Published: June 2022

Abstract:
Su!folobus solfataricus chaperonin interacts in an ATP hydrolysis-reversible manner with the non­ native molecules responsible for aggregation during refolding of chemically unfolded lysozyme and during heating of native lysozyme. The molecules of lysozyme bound during refolding and during heating have the same binding stoichiometry. and there is evidence that they share the same binding surfaces on the chaperon in molecule.
Pathophysiology of SARS-CoV2 Mediated Depression, Therapeutics, and Consequences: A Comprehensive Narrative
Authors: Sharma Bechan , Khushboo  , Siddiqi Nikhat J. 
Published: June 2022

Abstract:The corona virus disease 2019 (COVID-19), caused by severe acute respiratory syndrome corona virus type 2 (SARS-CoV-2), belongs to emerging and reemerging diseases, which was first identified and reported in Wuhan, China, during December 2019. The genetic sequence of SARS-CoV-2 was similar to SARS virus, a β-corona virus. The epidemiologicalstudies suggest that the transmission of SARS-CoV-2 mainly occurs from an infected person to others through close contact with the respiratory droplets or by having contact with SARS-CoV-2adhering toobjects and surfaces. The incubation period ranges from 5 to14 days. During COVID-19, the occurrence of fever, dry cough, tiredness, aches, chest pain, conjunctivitis, diarrhea, headache, difficulty in breathing or short breath, loss of taste, smell, rashes on the skin,andsore throat.Some reports indicated that males exhibited lower scores than females, the younger populations displayed increased symptoms, Chinese/Taiwanese people registered only scarce symptoms and Canadians experienced more symptoms. The results of some studiesindictaed that COVID-19 significantly impacted on depression whereas job insecurity impacted on anxiety and depression. The risk factors of COVID-19 pandemic include steep rise in the degree of fear, worry, mainly the health care providers, infants, pregnant ladies, older adults, patients receiving treatment in hospitals, development of psychosomatic disorders including depression with serious immunological consequences in infectedindividuals. The diagnostics to detect the presence of corona virus involves ELISA and RT-PCR. There is no specific treatment available to eradicate COVID-19. The therapeutics used to treat COVID 19 exhibited severe side effects. Recently, some Indian traditional medicinal plants have shown promises to reduce the risk of viral infection and also boost immunity of an invidual.This paper presents an overview of the current status of depression in the SARS CoV2 infected people and the measures required to overcome COVID-19 induced depression in patients even after recovery.
Antipsychotics Induced Drug Reaction with Eosinophilia and Systemic
Symptoms (DRESS) Syndrome: Literature Review and a Report of a Suspected
Case Related to Chlorpromazine
Authors: Ghozlane Lakhoua , Asma Jerbi , Ahmed Zaiem , Ons Charfi , Sarrah Kastalli , Riadh Dhaghfous , Sihem El Aidli 
Published: June 2022

Introduction/background:
Drug reaction with eosinophilia and systemic symptoms reaction
(DRESS) syndrome is a serious, potentially life-threatening drug side effect associated with
more and more drugs. However, antipsychotics have rarely been involved in such condition.

Case Report:
We report here a suspected case of chlorpromazine induced DRESS syndrome in a
33-year-old woman with a history of allergic rhinitis and bipolar disorder who has reported an unexplored
generalized skin eruption after taking chlorpromazine 10 years before.

:
Only 24 hours after starting the therapy, the patient developed erythematous skin eruption on her
limbs and her trunk with biological abnormalities, including liver enzyme elevation and eosinophilia.

:
Skin eruption disappeared spontaneously within 3 days after therapy discontinuation and subsequently,
biological abnormalities regressed. Patch tests were performed and were positive for
chlorpromazine. At same time, we performed a literature review of the DRESS syndrome induced
by antipsychotics. No patch tests were performed for those cases.

Conclusion:
Clinicians should be aware of such clinical features after starting patients on antipsychotics
to withdraw the culprit drug as early as possible and avoid further complications.
Exploring Synthesis and Chemotherapeutic Potential of Thiosemicarbazide Analogs
Authors: Mishra Rakhi , Kumar Akhalesh , Mazumder Avijit , Mazumder Rupa , Varshney Shruti 
Published: June 2022

Background:
Cancer is a leading cause of death worldwide, accounting for nearly 10 million deaths in
2020. Researchers are continually finding new and more effective medications to battle the diseases.

Objective:
The objective of this study is to identify the emerging role of Thiosemicarbazide analogs for different types
of cancer targets with a glance at different novel synthetic routes reported for their synthesis.

Methods:
A systematic literature review was conducted from various sources over the last 15 years with the inclusion
of published research and review articles that involves the synthesis and use of thiosemicarbazide analogs for different
targets of cancer. Data from the literature review for synthesis and anticancer potential for specific targets for cancer
studies of thiosemicarbazide analogs are summarized in the paper.

Results:
There are several emerging studies for new synthetic routes of thiosemicarbazide derivatives with their role in
various types of cancers. The main limitation is the lack of clinical trial of the key findings for the emergence of new
anticancer medication with thiosemicarbazide moiety.

Conclusions:
Emerging therapies exist for use of a limited number of medications for the treatment of cancer; results of
the ongoing studies will provide more robust evidence in the future.
Parallelised Multithreaded Applications on a 4-core Field Programmable Gate Array (FPGA) Architecture
Authors: Adam George K. 
Published: June 2022

Abstract:The challenges in real-time multithreading, particularly in the efficiency of multithreaded applications running concurrently on multiple cores, have evolved significantly due to the increase in IoT, cloud and edge computing applications. The continuous increase in cores depth adds further research issues related to the efficiency of such multicore systems and their applications. Therefore, further research is still required.Background:Multicore systems can achieve higher performance running in parallel multiple multithreaded applications. However, efficient parallelisation of multiple threads among many cores is not an easy task. Field Programmable Gate Arrays (FPGAs) is a preferred technology for the rapid design and experimentation with such architectures, based primarily on softcore processors.Objective:The purpose of this research is to investigate the efficiency of running in parallel and concurrently multithreaded applications on a 4-core FPGA multicore architecture.Methods:The design of a 4-core FPGA architecture is implemented with Nios II/f soft processors on a Cyclone IV series chip, having real-time Linux operating system (OS) support. A multithreaded application with specific compute-intensive tasks is developed in C, and is used to obtain measurements in specific efficiency metrics under different core configurations.Results:The reliability of the proposed 4-core FPGA architecture is validated against 4-core and 2- core development platforms, respectively, on Raspberry Pi4 and BeagleBone AI single board computers. The results have been analysed and evaluated upon performance metrics, including execution time, response time, speedup, and cores usage. The experimental tests demonstrate the validity and efficiency of the approach to using FPGA for experimentations with multithreaded applications.Conclusion:The obtained results show that the proposed FPGA architecture stands well both in terms of timing and efficiency metrics. Execution times are about 50% lower, and the average speedup at 21% is fairly close to that of 33% for the Raspberry Pi4, and higher than BeagleBone AI (10%). The proposed measurements approach and evaluation methodology could benefit the design and development of real-time systems utilizing operating systems with real-time support in emerging areas, such as embedded devices in real-time control.