bluuebunny/crossref_metadata_2025 huggingface dataset:
VGG Classification Model for Lung Cancer Diagnosis
Authors: Hider Nabilah Hanani , Khairuddin Anis Salwa Binti Mohd , Hanafi Effariza Binti
Published: December 2022

Lung cancer is one of the most common cancers worldwide that leads to small survival rate. It is important to detect the presence of these harmful cells in human body at early stages to prevent it from worsening. The primary goal of this study is to propose an efficient lung cancer image classification model using deep learning method. The cancer image classification framework is proposed by using transfer learning with Convolutional Neural Network (CNN) to classify three categories of 5,100 cancer images namely lung adenocarcinoma, lung squamous cell carcinoma and benign lung tissues obtained from the dataset. Several experiments have been performed to improve the VGG19 model performance by varying the optimizers including RMSprop, Adam and SGD. The performance of all experiments conducted were analyzed based on the training and validation curves, classification reports and the confusion metrics.
Legal-philosophical ideas of Ronald Dworkin’s «Taking rights seriously»
Authors: Г. В. Коваленко
Published: December 2022

This paper is devoted to the analysis of main ideas of the first R. Dworkin’s book, «taking rights seriously»: his opposition to legal positivism, interpretation of human rights in modern world, correlation of law and morals.
Estimation of wastewater flowrate in a gravitational sewer line based on a low-cost distance sensor
Authors: Tomperi Jani , Rossi Pekka M. , Ruusunen Mika
Published: December 2022

Wastewater flowrate exhibits valuable information on the conditions in a sewer line. However, existing hardware flowrate sensors are rather expensive, vulnerable to fouling and breakages, and require frequent and laborious maintenance. Therefore, they are typically only mounted in a few key locations of a sewer system, leading to a lack of important information in a major part of the network. Utilizing more cost-effective sensors and a soft sensor approach is advisable for estimating the flowrate at locations where hardware sensors are lacking. Here, the development and testing of a data-driven soft sensor for estimating the wastewater flowrate based on the water level information obtained from a low-cost ultrasonic distance sensor are presented. The research included a long-term functionality testing period of the sensor in a cold region. The soft sensor-based flowrate was applied to estimate inflow and infiltration, indicating the conditions of the sewer line. The harsh conditions inside the sewer manhole caused challenges for the reliability of the distance measurement based on an ultrasonic principle. With the developed model-based soft sensor, it seems possible to accurately estimate the wastewater flowrate. Together with additional information, it might also enable accurate monitoring of inflows and infiltrations.
Sugarcane bagasse ash for fipronil removal
Authors: Barbosa Larissa M. S. , Baêta Bruno E. L. , de Barros André Luis Corrêa , Almeida Marys L. Braga , Libânio Marcelo
Published: December 2022

Adsorbents were studied for removing fipronil, a pesticide, from water. The study included sugarcane bagasse fly ash (SBFA) and traditional activated carbon. SBFA was characterized by X-ray fluorescence, specific mass determination, electron microscopy, particle size analysis and zeta potential. The results showed that, without prior treatment, its removal efficiency for fipronil was 80% with 2 h contact time, which is much higher than reported in other studies. SBFA's zeta potential was 8.02. In low pH systems, fipronil adsorption is expected to be even more efficient, as the molecule presents both the amino group (NH) and Cl, which may favor adsorbent surface interactions by giving rise to polar electrostatic forces. The Freundlich model (R2 = 0.9290) describes the adsorption data better than the Langmuir model (R2 = 0.8870). The method developed for fipronil adsorption is low-cost and enables the reuse of sugarcane industry waste.
Using machine learning architecture to optimize and model the treatment process for saline water level analysis
Authors: Rajput Sarvesh P. S. , Webber Julian L. , Bostani Ali , Mehbodniya Abolfazl , Arumugam Mahendran , Nanjundan Preethi , Wendimagegen Adimas
Published: December 2022

Water is a vital resource that makes it possible for human life forms to exist. The need for freshwater consumption has significantly increased in recent years. Seawater treatment facilities are less dependable and efficient. Deep learning systems have the potential to increase the efficiency as well as the accuracy of salt particle analysis in saltwater, which will benefit water treatment plant performance. This research proposed a novel method for optimization and modelling of the treatment process for saline water based on water level data analysis using machine learning (ML) techniques. Here, the optimization and modelling are carried out using molecular separation-based reverse osmosis Bayesian optimization. Then the modelled water saline particle analysis has been carried out using back propagation with Kernelized support swarm machine. Experimental analysis is carried out based on water salinity data in terms of accuracy, precision, recall, and specificity, computational cost, and Kappa coefficient. The proposed technique attained an accuracy of 92%, precision of 83%, recall of 78%, specificity of 81%, computational cost of 59%, and Kappa coefficient of 78%.
A Review on Green Synthesis and Biological Activities of Medicinally Important Nitrogen and Oxygen Containing Heterocycles
Authors: Gulati Susheel , Singh Rajvir , Sangwan Suman
Published: December 2022

Recently, the application of green chemistry for the formation of potential bioactive heterocyclic moieties has turned out to be the key area of research for organic chemists due to the growing concern over environmental issues. Therefore, the development of nonhazardous synthetic protocols gained the particular attention of synthetic chemists as a frontier task in the present scenario. Nowadays, microbial infections have been haunting human civilization since prehistoric times, resulting in many deaths worldwide. Cancer is a fatal and dreadful disease without any appropriate cure, thus threatening humanity in both the developing and developed worlds. Therefore, there is a critical requirement for the design and synthesis of new classes of compounds to circumvent these diseases. Heterocycles are unique precursors for the synthesis of various pharmaceuticals and agrochemicals, particularly those possessing N- or O- moieties. The methods to prepare heterocycles are of great importance in synthesizing organic compounds, especially the heterocycles found in natural products. The synthesis of nitrogen and oxygen-containing heterocycles viz. Coumarins, dihydropyrimidinones, imidazoles, isoxazoles, and benzimidazoles represent attractive and demanding work for chemists as these molecules have found extensive applications in several fields, such as materials science, analytical chemistry and most importantly in, medicinal chemistry. In this review paper, we focus on the synthetic strategy to prepare these types of heterocyclic compounds by green methods and discuss their various biological applications.
Nanocarriers and Diabetes: New Vistas and the Way Ahead
Authors: Mishra Dinesh K. , Gautam Rupesh K. , Dixit Pankaj V. , Sharma Sanjay
Published: December 2022

World Health Organization has reported an estimated 1.5 million deaths directly due to
diabetes in 2019. Center for Disease Control and Prevention, in its National Diabetes Statistics Report,
2020, says that 1 in 10 United States residents has diabetes. This rapid progression of diabetes
is noteworthy despite significant advances in the field of antidiabetic medicine. The critical challenges
in treatment are dyslipidemia, hyperinsulinemia, and hyperglycemia. The latest research has
also linked diabetes to carcinogenesis. The diabetic condition accelerates cell growth, proliferation,
migration, inflammation, angiogenesis, metastasis, and inhibition of apoptosis in cancer cells. In
addition, diabetic complications of nephropathy, retinopathy, neuropathy, cardiomyopathy, peripheral
arterial disease, coronary artery disease, and stroke increase morbidity. Amidst all these challenges,
a ray of hope is the advent of nanocarriers. The nano size helps in the targeted and controlled
delivery of drugs. In addition, nanocarrier formulation helps in the delivery of acid-labile and enzyme-
labile molecules and plant-based macromolecules via the oral route. Its use in the form of
dendrimers, ethosomes, niosomes, transfersomes, and polymeric nanoparticles is established. In
addition, different polymers used to formulate nanocarriers are also established for targeting diabetes.
Thus, this review aims to compile approaches involving the use of nanocarriers for the betterment
of pharmacotherapy of diabetes and to provide a way ahead for researchers in the field.
Protective Roles and Mechanism of Action of Plant Flavonoids against
Hepatic Impairment: Recent Developments
Authors: Boniface Pone Kamdem , Fabrice Fekam Boyom , Paumo Hugues Kamdem , Katata-Seru Lebogang Maureen
Published: December 2022

Background:

The liver is one of the crucial organs in humans and is responsible for the
regulation of diverse processes, including metabolism, secretion, and detoxification. Ingestion of alcohol
and drugs, environmental pollutants, and irradiation are among the risk factors accountable
for oxidative stress in the liver. Plant flavonoids have the potential to protect the liver from damage
caused by a variety of chemicals.

Objective:

The present study aims to summarize up-to-date information on the protective roles of
plant flavonoids against liver damage.

Methodology:

The literature information on the hepatoprotective plant flavonoids was assessed
through various databases, which were searched from their respective inception until March 2022.

Results:

More than 70 flavonoids with hepatoprotective activity against a variety of models of liver
toxicity have been reported across the literature. Among these are flavones (19), flavonols (30),
flavanones (9), isoflavonoids (5), and biflavonoids (2). Several hepatoprotective mechanisms of action
were reported in various classes of flavonoids, including flavones and flavonols (upregulation
of the pro-survival ERK1/2 pathway; downregulation of apoptotic proteins, including Bax, Bcl-2,
Bax, BH3, caspase-3, 8, 9, etc.), flavanones (downregulation of NF-κB, TNF-α, IL-1 β, IL-6, iNOS,
etc.), isoflavonoids (downregulation of lipogenesis genes, such as SREBP-1c, LXRα, RXRα,
PPARγ and ACC2, with concomitant upregulation of genes involved in β-oxidation, including
AMPK and PPARα; inhibition of CYPs, such as CYP1A1, CYP1A2, CYP2B1, CYP2D6, CYP2E1
and CYP3A1/2).

Conclusion:

The present work demonstrated the effectiveness of plant flavonoids against hepatic
damage. However, more studies need to be performed regarding the cytotoxicity, pharmacokinetics,
and mechanisms of action of these very important cytoprotective flavonoids.
Enzyme-indole Pyrazole-capped SeNPs based Electrochemical Biosensor
for Sensitive Detection of Adenosine Triphosphate
Authors: Majola Senzekile , Sabela Myalowenkosi , Gengan Robert Moonsamy , Makhanya Talent Raymond
Published: December 2022

In this study, an electrochemical biosensor for the indirect detection of Adenosine triphosphate
(ATP) was developed, which was based on the immobilization of the multiwalled carbon nanotubes
(MWCNTs) decorated with pyrazole-capped selenium nanoparticles (TRPIDC-CH3 SeNPs) and dual
enzyme reaction (hexokinase and glucose oxidase) onto the surface of a bare glassy carbon electrode
(GCE) as a working electrode. As confirmed byUltraviolet–visible spectroscopy (UV-Vis), Fourier transform
infrared (FTIR) and High-resolution electron microscope (HRTEM), the TRPIDC-CH3 SeNPs successfully
green synthesised using Allium sativum cloves and indole pyrazole ligand. The electrochemical
study of ATP was performed using cyclic voltammetry (CV) and square wave voltammetry (SWV) techniques
on a modified electrode for indirect detection of ATP where the required strong electroactive was
[Fe(CN)6]3-/4-. The phosphate buffer solution (PBS; 0.1 M) was used as a supporting electrolyte at pH 7
containing 1 mM K4[Fe(CN)6]/K3[Fe(CN)6] as the redox probe operated at an average potential of 0.23
V. The electrochemical enzymic biosensor showed outstanding sensitivity, good stability, and satisfactory
reproducibility with an average RSD of 2.30%. The ATP was quantifiable in spiked tablets with a limit of
detection (LOD) of 0.015 mM and a limit of quantification (LOQ) of 0,050 mM.
Silymarin: A Phytoconstituent with Significant Therapeutic Potential - A Narrative Review
Authors: Kumar Pravin , Sharma Sahil , Ashawat Mahendra Singh , Pandit Vinay , Verma Chandrapal Singh , Sharma Dinesh Kumar
Published: December 2022

Silymarin, is a phytoactive constituent isolated from the fruits and seeds of Silybum marianum L Gaetn.), also called milk thistle belonging to the family of Asteracease. The phytoactive has been used to treat several physiological disorders. The objective of this manuscript was to review the therapeutic prospective of silymarin due to its ability to treat several physiological disorders. The databases such as Pubmed, Elsevier, and Google Scholar were reviewed for the investigations or reviews published related to the title. The discussion is focused on the immunomodulatory, chemopreventive, and anti-inflammatory mechanisms of silymarin in various metabolic and dermatological disorders. In addition, the review discusses the different therapeutic potentials of silymarin such as the management of the liver disorder, skin carcinogenesis, cardiovascular disorders, diabetes mellitus, neurodegenerative disorders, and several dermatological disorders such as melasma, anti-aging, acne, rosacea, atopic dermatitis, and psoriasis. Silymarin is safe even with a dose higher than the therapeutic dose. Silymarin had good potential for the safe and effective treatment of numerous metabolic and dermatological disorders.
COVID-19 and Brain Aging: What are the Implications of Immunosenescence?
Authors: Keller Gabriela Serafim , Medeiros Eduarda Behenck , dos Santos Maria Laura Cecconi , Lidio Adrielly Vargas , Kucharska Ewa , Budni Josiane
Published: December 2022

The human lifespan is increasing, and mankind is aging. It is estimated that, until the
year 2050, this population worldwide will reach 22% of the total world population. Along with aging,
the human immunologic system changes, a process called immunosenescence or even inflammaging.
The aging immune system increases mortality and morbidity in the elderly mainly because
it loses its capacity to react against internal and external aggressions. There is a decrease in B and T
lymphocytes and CD4+ lymphocytes lose the CD28 protein expression that is needed for costimulation,
leading to reduced response to viral infections. This could be responsible for more deleterious
consequences of coronavirus disease infection in the elderly. Besides that, the human brain
ages, being more susceptible to damage and viral infections, such as COVID-19 infection. There
are several pathways that could explain the susceptibility to the COVID-19 infection in the elderly
brain, one of them is binding to ACE 2 receptors in cerebral cells through the spike protein. It has
been reported that glial cells and neurons, in addition to endothelial and arterial smooth muscle
cells in the brain, express the ACE 2 receptor, which would justify the neurological symptoms and
consequences of the disease. This infection can have several clinical manifestations such as hemorrhagic
stroke, delirium and long-term cognitive complaints, such as brain fog, polyneuropathies,
short time memory complaints and insomnia. Although none of the studies could prove that there is
a long-term neuronal damage, there are clinical sequelae that should be taken into account and
more studies are necessary to know the consequences of the infection in the elderly brain.
Development of NLC- based Sunscreen Gel of Lutein and its in-vitro and
ex-vivo Characterisation
Authors: Sharma Bhawna , Chauhan Iti , Singh Alok Pratap
Published: December 2022

Background:

In humans, Carotenoids are important in scavenging singlet oxygen and peroxyl radicals. Lutein has been demonstrated in multiple studies to help protect the skin from photodamage, as well as provide a variety of other health advantages. In the recent decade, the topi-cal use of Lutein as a new ultraviolet (UV) protectant, anti-stress, and blue light filter capable of protecting skin from photodamage has piqued cosmetic and pharmacological attention. Because Lutein is insoluble, it was integrated into nanocarriers for topical administration.

Objective:

The objective of this study was to formulate an NLC-based sunscreen gel of Lutein.

Method:

Nanostructured lipid carriers (NLC) were prepared by melt emulsion ultrafiltration tech-nique and were evaluated for particle size, zeta potential, polydispersity index (PDI), drug loading (DL), encapsulation efficacy (EE), and in vitro drug release. The optimised formula was incorpo-rated into a gel base and an in-vitro sun protection factor (SPF) was determined. Ex- vivo permea-tion study was performed on rat skin using a Franz diffusion cell. Cocoa butter and rose oil were chosen as solid and liquid lipids for NLC formulation.

Results:

The particle size, PDI, zeta potential, entrapment efficiency, and in vitro drug release of optimised formulation (NLC5) were found to be 81.64 nm, 0.463, -14.1mV, 79.90 %, and 89.86% respectively. The SPF value of the Lutein-NLC-loaded gel was found to be 27.524. The drug flux Jss from NLC gel was measured in the range of 0.07955 g/cm2/h.

Conclusion:

The investigation suggested lipid nanoparticles as a suitable carrier for Lutein to be delivered as sunscreen gel.
Scientific Evaluation of the Remedies Used in Turkish Folk Medicine to
Treat Possible Viral Infections
Authors: Yesilada Erdem
Published: December 2022

Background:

Plants, with their rich phytochemical treasury, are one of the main sources
of drug development. However, a randomized search on plant sources for the discovery of phytochemicals
with specified pharmacological activity is expensive and tedious. Therefore, it is logical
to constrain the sources to increase success. In the recent four decades, the importance of traditional
information has been recognized by the scientific community. Consequently, interest in field surveys
for the documentation of traditional worldwide medicines has significantly increased.

Aims and Methods:

Infectious diseases induced by pathogenic bacteria, fungi, or viruses have been
one of the most common health problems for the public, for which traditional remedies have been
practiced. Since laypeople could not distinguish the microbial origin of the infection, the remedies
used for treatment could not be delineated. The aim of this study was first to search the plants used
in Turkish folk medicine for such infectious diseases. The second step was to find scientific evidence
in the online databases for the frequently quoted plants whether they may have potential activity
against virus replication.

Results:

A reference survey on the most frequently quoted plants revealed that 16 out of 17 were
shown to possess virucide or inhibitory effects on the replication of various viruses.

Conclusion:

Since each virus type may have a different viral replication pattern, further detailed investigations
should be carried out to reveal their exact antiviral potentials.
Development of a Colorimetric Scale as an Aid for Estimating Temperature
of Burnt Bone
Authors: Nuzzolese Emilio , Lupariello Francesco , Tattoli Lucia , Di Vella Giancarlo
Published: December 2022

Background:

Forensic pathologists, archeologists, and forensic anthropologists are
often required to interpret burnt bones. One of the key factors for an accurate interpretation of the
remains and the events leading to incineration is the estimation of the maximum exposure temperature
of the human remains. Several types of research focus on temperature estimation, using color
assessment, histology observations, and mechanical changes, which can help in the most accurate
interpretation. The color of burnt bone is inevitably related to the time and temperature(s) to which
it was exposed, the size and condition of the bone, and the environment. Nevertheless, it can be
possible to estimate exposure temperature based on visual observation and analysis.

Objective:

Development of a colorimetric scale for photographic documentation and the color
calibration of burnt bone.

Method:

This paper proposes a patented prototype scale with calibrated colors of burnt bone colors
at different temperatures, based on the existing RGB color published data as a visual aid in the
interpretation and estimation of the maximum temperature exposure of burnt bone.

Results and Discussion:

Authors are aware that the estimation of the maximum temperature of
burnt bone cannot be determined solely by colors. Visual color recognition is prone to errors.

Conclusion:

The proposed device should be considered a tool during photography of burnt bone
and aid in interpreting temperature estimates.
Analisis Pendekatan A.C.T.O.R.S dalam Pemberdayaan Masyarakat Lansia di Kampung Wonosari 3G (Glintung Go Green) Kota Malang
Authors: Kopong Angelus Vecky , Kholifah Siti , Kanto Sanggar
Published: December 2022

The purpose of this study is to offer a comprehensive understanding of empowerment strategies through the A.C.T.O.R.S theory approach by Sarah Cook and Steve Macaulay for the elderly in Kampung Wonosari 3G (Glintung Go Green), Purwantoro Village, Malang City. Areas that are known as slum areas and prone to flooding have a significant impact on health quality inequality and low quality of life expectancy, especially for those who come from the elderly, so a change movement is needed through urban farming to improve the environment. The method used in this research is to use a descriptive qualitative approach, where in collecting data the researcher used in-depth interviews with 10 informants from the people of Kampung Wonosari 3G, Purwantoro Village, Malang City. The findings confirm that the Authority strategy is carried out by giving authority to the elderly to make changes according to their capacity and abilities. Furthermore, the confidence and competence strategy is carried out by creating and fostering self-confidence in the elderly to see their potential. The Responsibility strategy is intended to provide a sense of responsibility to the elderly so that they can maintain and commit to the sustainability of environmental change. The last strategy supports, namely support from various parties (from internal and external communities) so that the process of change and empowerment for the elderly continues. The resulting output also shows an increase in self-respect (self-recognition), self-confidence (self-confidence), and self-reliance (independence) in the elderly community of Kampung Wonosari 3G Malang City.activity that is carried out online or offline.
Experimental Research on Optimization Extruder Process Parameters for Pineapple Pomace-Based Fish Feed
Authors:   University Ibadan, Oduntan Oluwafemi Babatunde , Bamgboye Adeleke Isaac ,   University Ibadan, Oduntan Abosede Oluwakemi ,   National Horticultural Research Institute
Published: December 2022

A single screw water-cooled jacketed extruder has been proposed to produce the fruit waste extrusion process of fish feed because of its superficial characteristics. This research mainly examined the effects of various extrusion conditions: feeding rate, screw speed, feed moisture, barrel temperature, cutting speed, and die open surface area. While maintaining the feed specifications (38% proteins and 5% lipids), four formulations with different pomace inclusions were obtained. The processing methodologies (with mash moisture and varied extruder parameters) were then based on three fundamental aspects (machine torque, apparent viscosity, and efficiency). They were studied using Response Surface Methodology (RSM). The influence of screw speed, moisture, and pomace inclusion was most significant. Optimum extrusion conditions were found at a feed rate of 1.47 kg.min-1, screw speed of 356.44 rpm, humidity of 16.04%, temperature of 60 °C, cutting speed of 1300 rpm, pomace inclusion rate of 10.59%, and an open surface die obtained 88.63%. The maximum desirable value of 0.61 resulted in 444.16 Nm-1 torque, 1008.98 Pa-s apparent speed, and 75.21% efficiency. The extruder evaluation demonstrated remarkable performance in producing pineapple pomace extrudates without impeding machine operating principles, redefining the robustness of extrusion process factors and their interactions in the process state.
Development of rails of a new category for use in particularly harsh operating conditions
Authors: Tokmakova E. N. , Perkov Ivan , Ivanov Pavel , Zagranichek Konstantin
Published: December 2022

Introduction. In the conditions of an annual increase in load stress on the roads of the Eastern Polygon, an effective technical solution to the problem of an increased number of rolling stock derailments due to rail breakage is the creation of rails for cold climate conditions with increased hardness to increase wear resistance and contact endurance with simultaneously high values of impact strength. Such a set of properties can be achieved by using separate heating for quenching and cooling with a quenching medium with a high cooling capacity. Rails manufactured using this technology will belong to a new category. In this regard, the purpose of this work was to create a new category of rails for their use in particularly harsh operating conditions.

Materials and methods. In this paper the effect of separate induction heating before differentiated quenching with compressed air of controlled humidity on the microstructure and mechanical properties (hardness, mechanical properties during tensile and impact tests, endurance limit, cyclic crack resistance) of rails of type R65 was investigated.

The results of the study. A comparative analysis of the results obtained with similar indicators for rails of the DT350, DT350NN and DT370IK categories according to GOST R 51685-2013 was carried out. Studies of the chemical composition, mechanical properties, hardness on the rolling surface of the rail head and cross-section, as well as the microstructure of the rails of the experimental batch showed compliance with the requirements of GOST R 51685-2013 for rails of categories DT350, DT370IK, DT350NN.

Discussion and conclusion. It is shown that as a result of the application of differentiated thermal hardening of the rail using compressed air of controlled humidity as a quenching medium, a new category of DTO350NN rails was obtained, characterized by a favorable combination of strength properties, plasticity characteristics and brittle fracture resistance indicators. Rails of the new category can be recommended for use in particularly severe operating conditions (in curved sections of the track of a small radius at low temperatures), including on the roads of the Eastern Polygon.
Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach
Authors: Baba Ayako , Bunji Kyosuke
Published: December 2022

Background

One of the reasons why students go to counseling is being called on based on self-reported health survey results. However, there is no concordant standard for such calls.

Objective

This study aims to develop a machine learning (ML) model to predict students’ mental health problems in 1 year and the following year using the health survey’s content and answering time (response time, response time stamp, and answer date).

Methods

Data were obtained from the responses of 3561 (62.58%) of 5690 undergraduate students from University A in Japan (a national university) who completed the health survey in 2020 and 2021. We performed 2 analyses; in analysis 1, a mental health problem in 2020 was predicted from demographics, answers for the health survey, and answering time in the same year, and in analysis 2, a mental health problem in 2021 was predicted from the same input variables as in analysis 1. We compared the results from different ML models, such as logistic regression, elastic net, random forest, XGBoost, and LightGBM. The results with and without answering time conditions were compared using the adopted model.

Results

On the basis of the comparison of the models, we adopted the LightGBM model. In this model, both analyses and conditions achieved adequate performance (eg, Matthews correlation coefficient [MCC] of with answering time condition in analysis 1 was 0.970 and MCC of without answering time condition in analysis 1 was 0.976; MCC of with answering time condition in analysis 2 was 0.986 and that of without answering time condition in analysis 2 was 0.971). In both analyses and in both conditions, the response to the questions about campus life (eg, anxiety and future) had the highest impact (Gain 0.131-0.216; Shapley additive explanations 0.018-0.028). Shapley additive explanations of 5 to 6 input variables from questions about campus life were included in the top 10. In contrast to our expectation, the inclusion of answering time–related variables did not exhibit substantial improvement in the prediction of students’ mental health problems. However, certain variables generated based on the answering time are apparently helpful in improving the prediction and affecting the prediction probability.

Conclusions

These results demonstrate the possibility of predicting mental health across years using health survey data. Demographic and behavioral data, including answering time, were effective as well as self-rating items. This model demonstrates the possibility of synergistically using the characteristics of health surveys and advantages of ML. These findings can improve health survey items and calling criteria.
Operational Implementation of Remote Patient Monitoring Within a Large Ambulatory Health System: Multimethod Qualitative Case Study (Preprint)
Authors: Lawrence Katharine , Singh Nina , Jonassen Zoe , Groom Lisa L , Alfaro Arias Veronica , Mandal Soumik , Schoenthaler Antoinette , Mann Devin , Nov Oded , Dove Graham
Published: December 2022

BACKGROUND

Remote patient monitoring (RPM) technologies can support patients living with chronic conditions through self-monitoring of physiological measures and enhance clinicians’ diagnostic and treatment decisions. However, to date, large-scale pragmatic RPM implementation within health systems has been limited, and understanding of the impacts of RPM technologies on clinical workflows and care experience is lacking.

OBJECTIVE

In this study, we evaluate the early implementation of operational RPM initiatives for chronic disease management within the ambulatory network of an academic medical center in New York City, focusing on the experiences of “early adopter” clinicians and patients.

METHODS

Using a multimethod qualitative approach, we conducted (1) interviews with 13 clinicians across 9 specialties considered as early adopters and supporters of RPM and (2) speculative design sessions exploring the future of RPM in clinical care with 21 patients and patient representatives, to better understand experiences, preferences, and expectations of pragmatic RPM use for health care delivery.

RESULTS

We identified themes relevant to RPM implementation within the following areas: (1) data collection and practices, including impacts of taking real-world measures and issues of data sharing, security, and privacy; (2) proactive and preventive care, including proactive and preventive monitoring, and proactive interventions and support; and (3) health disparities and equity, including tailored and flexible care and implicit bias. We also identified evidence for mitigation and support to address challenges in each of these areas.

CONCLUSIONS

This study highlights the unique contexts, perceptions, and challenges regarding the deployment of RPM in clinical practice, including its potential implications for clinical workflows and work experiences. Based on these findings, we offer implementation and design recommendations for health systems interested in deploying RPM-enabled health care.
The Effectiveness of Digital Apps Providing Personalized Exercise Videos: Systematic Review With Meta-Analysis (Preprint)
Authors: Davergne Thomas , Meidinger Philippe , Dechartres Agnès , Gossec Laure
Published: December 2022

BACKGROUND

Among available digital apps, those providing personalized video exercises may be helpful for individuals undergoing functional rehabilitation.

OBJECTIVE

We aimed to assess the effectiveness of apps providing personalized video exercises to support rehabilitation for people with short- and long-term disabling conditions, on functional capacity, confidence in exercise performance, health care consumption, health-related quality of life, adherence, and adverse events.

METHODS

In this systematic review, we searched MEDLINE, CENTRAL, and Embase databases up to March 2022. All randomized controlled trials evaluating the effect of apps providing personalized video exercises to support rehabilitation for any condition requiring physical rehabilitation were included. Selection, extraction, and risk of bias assessment were performed by 2 independent reviewers. The primary outcome was functional capacity at the end of the intervention. The secondary outcomes included confidence in exercise performance, care consumption, health-related quality of life, adherence, and adverse events. A meta-analysis was performed where possible; the magnitude of the effect was assessed with the standardized mean difference (SMD).

RESULTS

From 1641 identified references, 10 papers (n=1050 participants, 93% adults) were included: 7 papers (n=906 participants) concerned musculoskeletal disorders and 3 (n=144 participants) concerned neurological disorders. Two (n=332 participants) were employee based. The apps were mostly commercial (7/10); the videos were mostly elaborated on by a physiotherapist (8/10). The duration of app use was 3-48 weeks. All included studies had a high overall risk of bias. Low-quality evidence suggested that the use of apps providing personalized video exercises led to a significant small to moderate improvement in physical function (SMD 0.35, 95% CI 0.19-0.51; Phet=.86; I2=0%) and confidence in exercise performance (SMD 0.67; 95% CI 0.37-0.96; Phet=.22; I2=33%). Because of the very low quality of the evidence, the effects on quality of life and exercise adherence were uncertain. Apps did not influence the rate of adverse events.

CONCLUSIONS

Apps providing personalized video exercises to support exercise performance significantly improved physical function and confidence in exercise performance. However, the level of evidence was low; more robust studies are needed to confirm these results.

CLINICALTRIAL

PROSPERO CRD42022323670; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=323670
Auto Regressive eXogenous (ARX) System Identification of Batch Milk Cooling Process
Authors: Agustriyanto Rudy , Mochni Endang Srihari , Setyopratomo Puguh
Published: December 2022

The dynamic model of the milk cooling process from 36°C to 4°C using chilled water available at 2°C has been carried out.  The cooling water temperature is kept constant by using a refrigeration unit. The process being studied was a Packo brand milk cooling tank belonging to KUD SAE Pujon (Malang - Indonesia). A fundamental heat balance method was used to derive the model, leading to a first-order transfer function process. For a 2 hours cooling process then, the gain and time constant values are 1.00 and 42.3548 mins respectively, or G(s)=1/(42.3548s+1) (first order process). Deriving system transfer function through a mechanistic model is considered difficult; therefore, in this paper, we explored process identification via Auto Regressive eXogenous (ARX). Transient simulations could then be performed to identify the dynamic behavior of the cooling process. The system was then identified using several orders of the Auto Regressive eXogenous (ARX) model, and then the results were re-tested on different forms of perturbations and obtained quite accurate results. The transfer function identified through the ARX111 is G(s)=1/(42.3729s+1) (first order process), while via ARX441, the 5th order process was obtained: G(s)=(0.02361s^4+0.000371s^3+0.2331s^2+9.27×10^(-7) s+0.0005826)/(s^5+0.03932s^4+9.873s^3+0.2331s^2+0.02468s+0.0005826). These models particularly useful for process control design and analysis.
Characteristics of Rapid Visco Analyzer Carrageenan Extract with Enzymatic Pretreatment of Kappaphycus striatum
Authors: Laksono Hendrawan , Dyah Citra Kusumaning , Putri Renny Primasari Gustia , Soraya Maya , Purwoto Heri
Published: December 2022

Carrageenan is a polysaccharide compound extracted from red seaweed and is widely used by food, cosmetic, and advanced materials industries because of its good properties as an environmentally friendly stabilizer. Carrageenan extraction generally uses alkaline treatment for one full day, where the treatment is to obtain carrageenan quality with good gel characteristics. The use of cellulase enzymes is thought to accelerate the desulfuration process of seaweed, where cellulase enzymes are used to break down cellulose in seaweed cell walls. By using a rapid visco analyzer (RVA), carrageenan was tested to see the pattern and viscosity value. This study aims to determine the effect of enzymatic pretreatment on the profile of carrageenan with a shorter alkalization process compared to the alkalization commonly used by the industry. The results showed that enzymatic treatment before KOH alkalization would produce a carrageenan profile with a viscosity value of 272-360 cP, whereas the NaOH alkalization only reached 19-24 cP. The results of the test using RVA showed that the addition of an enzymatic process could change the physicochemical properties, such as viscosity and gel point of the carrageenan alkalinized with KOH. However, there was no significant difference in the properties when treated by alkalization using NaOH, which can be described from the value of the gelling point of carrageenan treated by cellulose enzyme. Adding enzymes to KOH will accelerate the gelation process, which occurs at an average temperature of 42.78oC. Meanwhile, carrageenan without enzymatic addition has an average gelation value of 37.48oC.
Industrial Application of Rice Husk as an Alternative Fuel in Cement Production for CO2 Reduction
Authors: Bramantiyo Ranoe , Lestianingrum Erna , Cahyono Rochim Bakti
Published: December 2022

The cement industry generally spends about 30-40% of production costs to provide energy for production. It forces the cement industry to look for cheaper and widely available alternative energy sources to increase its competitiveness. The dominance of fossil fuels poses another problem for the cement industry in the form of high CO2 emissions. To overcome this, PT Indocement Tunggal Prakarsa (ITP) Tbk, Palimanan Unit, is committed to continuously looking for alternative energy sources by utilizing rice husks in the suspension preheater unit. This study aims to evaluate the performance, especially the reduction of CO2 emissions and the economic benefits of energy substitution applications using rice husks. Based on the calculation in 2020, there will be an increase of 37% in 2021, and the total energy of rice husks will reach around 1,996,671 GJ. It is equivalent to using fossil fuel coal of approximately 106,450 tonnes. The contribution of rice husks to primary energy consumption seems to continue to increase yearly. A significant increase occurred between 2020 - 2021, and the contribution of rice husks reached 23%. Rice husks usage has reduced CO2 emissions by almost 220,000 tons of CO2e and brought production cost benefits to around 40 billion by 2021. Therefore, the substitution of coal fuel using rice husk has proven to be effective in reducing CO2 emissions in the cement production process. By still paying attention to the reliability of the process and the quality of the cement products produced, these efforts can be continuously encouraged to realize cement products that are more environmentally friendly.
Optimization of Gelling Agent of Sunflower (Helianthus annuus) Seed Oil Gel and Its Stability and Activity Test In Vitro as Sunscreen
Authors: Zulkarnain Abdul Karim , Faridhotu Feela , PR Ifthary Naqsya
Published: December 2022

Excessive ultraviolet (UV) radiation from the sun can harm human skin, such as skin erythema or sunburn, premature aging of the skin, darker skin discoloration, and damage to skin cells. Skin protection, like sunscreen, is needed to prevent the negative effects of UV rays. This study aims to evaluate the optimum formula, the physical properties, and the activity of a sunscreen gel preparation of sunflower seed oil in vitro. The method in this study was optimization with Design Expert version 10 of the carbopol gelling agent and sodium carboxymethyl cellulose. The optimum formula obtained was tested for its physical properties and activity as a sunscreen in vitro with a spectrophotometer.  The results showed that the physical properties of the optimum formula were good, and stable during storage, pH, spreadability, adhesion, and viscosity were close to predictions, and the in vitro SPF test obtained a value of 15.60.
THE INFLUENCE OF THE MAKE A MATCH LEARNING MODEL WITH QUIZ ON THE PHYSICS LEARNING OUTCOMES OF STUDENTS IN CLASS XI MIPA SMAN 1 SIBERUT UTARA
Authors:   Universitas PGRI Sumatera Barat, Sakarengan Simon , Rahmi Aidhia ,   Universitas PGRI Sumatera Barat, Trisna Silvi ,   Universitas PGRI Sumatera Barat
Published: December 2022

The learning model that is applied is a model of making quizzes with matches. The purpose of this study was to see the effect of applying the make a match quiz model to the physical learning outcomes of students in class XI MIPA SMAN 1 Siberut Utara. This type of research is a quasi-experimental research with a posttest only control group design. The population of this study were students of class XI MIPA SMAN 1 Siberut Utara. Sampling was carried out using saturated sampling. Where all the population is sampled. Class XI MIPA 1 was selected as the experimental class and class XI MIPA 2 as the control class of the study. The instrument in this study was based on a final test in the form of essays and student observation sheets during learning at each meeting. Based on the data obtained, the average learning outcomes of the cognitive domain in the experimental class are 74.41, while the control class is 66.96, and the effective assessment of students during the learning process in the experimental class is an average of 89.06 and the control class is an average of 66.92. . Furthermore, from hypothesis testing using the t test, it is obtained that t_(count )= 1.34 and t_(table )= 1.6, because t_(count) < t_(table ) then H_1 is rejected. So it can be said that there is no influence of the learning model with the physics learning outcomes of class XI MIPA SMAN 1 Siberut Utara. Keywords: quasi eksperimental, make and mach
DEVELOPMENT OF GENERAL PHYSICS MODULE INTEGRATED OF QURANIC VERSES TO DEVELOP THE RELIGIOUS CHARACTER OF STUDENTS AT ADZKIA UNIVERSITY
Authors:   Universitas Adzkia, Yusmanila Yusmanila
Published: December 2022

Teaching materials in the form of general physics modules integrated with quran verses developed by lecturers can improve students' religious character. Type of research is development research with Four-D Model consisting of four main stages, namely: defining, designing, developing, and disseminating. The instruments used to collect data were expert validation sheets, module implementation observation sheets, student response questionnaires, and student character assessments. The results of this study showed that the developed module met the very valid criteria with a validity of 94. The average activity implementation was 1.57, which means that all activities were carried out properly. Response of student about the module is known that the average practicality of the module is 91, which means the module is very practical. student character has an average core of 79 in the good category. Thus, the general physics module has been developed were valid and practical. Keywords: Module; Quran Verse; Religius Character
An Integrated Passive Cooling System for Thermal Comfort
Authors: Pereira Cleta , Dsouza Ashley , Dsouza Clevon , Datta Anjishnu , Dsilva Ian
Published: December 2022

Abstract: In the hot and humid environment of Indian summers, a conventional cooling system is too expensive for most people. In this project, Passive cooling systems which consume less power, are more efficient, cost less, and make very little noise are used. After researching various passive cooling techniques in isolation and running simultaneously, we aim to develop a system that is cost-effective and efficient at cooling the Indian household. The focus of this project is on the four major types of passive cooling techniques, they are radiant cooling, solar chimneys, wind catchers, and shading devices. Supplementary techniques like terrace cooling are also included. The initial analysis and study of the windcatcher system with various heights and inlet shapes have been conducted. A software model has been generated using fusion 360, analyzed in Ansys fluent, and results were recorded.
“Nossas gavetas estão cheias demais”: os desejáveis e indesejáveis nas páginas do suplemento literário de Mauro de Mota (1947-1959)
Authors: Amaral Tércio de Lima
Published: December 2022

A imprensa recifense foi pioneira na publicação de suplementos literários no Brasil na primeira metade do século XX. Essas publicações, além de revelarem talentos e consolidar velhos nomes da intelectualidade, foram responsáveis por criar um espaço coorporativo na defesa de seus colaboradores, como foi o caso do suplemento editado por Mauro Mota, no Diario de Pernambuco, entre os anos de 1947 e 1959. Este artigo descontrói a ideia de que este suplemento teria sido um espaço democrático para diversos autores, exigindo, por parte de seus colaboradores, a conexão com a rede de relacionamento da empresa e de seu editor.
Sob a perspectiva de uma política expansionista: hospedarias de imigrantes de Pernambuco, 1889-1926
Authors: Teixeira Rosane Siqueira
Published: December 2022

O  presente artigo tem como objetivo analisar a criação das hospedarias de imigrantes da Jaqueira, Socorro e Tigipió, localizadas em Pernambuco, entre o período de 1889 e 1926, que se encontram quase que completamente ignoradas. Busca-se discutir os impasses gerados a partir de suas constituições, responsáveis por suas efêmeras existências. Fontes de arquivo embasam este estudo. O artigo desenvolve o argumento de que a vinda de imigrantes europeus para Pernambuco fazia parte de uma política expansionista, defendida por alguns entusiastas, que tinha o propósito  de promover o desenvolvimento econômico do Estado, reformulando o trabalho agrícola.
Kinematic motion analysis of the members of a double jaw crusher
Authors: Hroncova Darina , Delyova Ingrid , Frankovsky Peter , Neumann Vojtech , Cech Dalibor
Published: December 2022

Computational technology makes it possible to accelerate and simplify the processes of kinematic and dynamic analysis. The paper deals with the problem of kinematic analysis of a planar six-joint mechanism of a jaw double-spring crusher. Computational techniques and software support have been used in the kinematic analysis. The obtained results are compared with the results of the graphical solution. The graphical solution has been carried out by using CAD software. MSC.Adams/View program was used to create a model and simulate the jaw crusher motion. In both cases there was agreement of the obtained results.