bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of particulate matter on endothelial, epithelial and immune system cells
Authors: Cano-Granda Danna V. , Ramírez-Ramírez Mariana , M. Gómez Diana , Hernandez Juan C.
Published: February 2022

Particulate Matter (PM) is an air pollutant that is classified according to its aerodynamic diameter into particles with a diameter of less than 10 µm (PM10), a diameter of less than 2.5 µm (PM2.5), and particles ultra-fine with a diameter less than 0.1 µm (PM0.1). PM10 is housed in the respiratory system, while PM2.5 and 0.1 can pass into the circulation to generate systemic alterations. Although several diseases associated with PM exposure, such as respiratory, cardiovascular, and central nervous system, have been documented to cause 4.2 million premature deaths per year worldwide. Few reviews address cellular and molecular mechanisms in the epithelial and endothelial cells of the tissues exposed to PM, which can cause these diseases, this being the objective of the present review. For this, a search was carried out in the NCBI and Google Scholar databases focused on scientific publications that addressed the expression of pro-inflammatory molecules, adhesion molecules, and oxidative radicals, among others, and their relationship with the effects caused by the PM. The main findings include the increase in pro-inflammatory cytokines and dysfunction in the components of the immune response; the formation of reactive oxygen species; changes in epithelial and endothelial function, evidenced by altered expression of adhesion molecules; and the increase in molecules involved in coagulation. Complementary studies are required to understand the molecular effects of harmful health effects and the future approach to strategies to mitigate this response.
The Relation of Attitude Toward Technology and Mastery Experience After an App-Guided Physical Exercise Intervention: Randomized Crossover Trial
Authors: Sassenberg Kai , Roesel Inka , Sudeck Gorden , Bernecker Katharina , Durst Jennifer , Krauss Inga
Published: February 2022

Background

Physical exercise has been found to assert a positive impact on many muscular conditions. Exercise under face-to-face supervision is the gold standard, but access to it is limited, for instance, for economic reasons. App-guided therapy is an intervention that is more affordable and easily accessible. However, attitude toward technology is a key predictor for media adoption and is therefore expected to shape user experience during app-guided therapy. This might be of particular importance for mastery experience, which is crucial for promoting exercise-related self-efficacy and perceived usefulness of the interaction. Both should empower patients to continuously exercise.

Objective

This study sought to test whether attitudes toward technology predict mastery experience and perceived usefulness of the interaction after an app- versus a physiotherapist-guided treatment. We expect that attitudes toward technology positively predict both outcomes in case of the app-guided but not in case of the physiotherapist-guided treatment.

Methods

Patients (n=54) with clinically diagnosed hip osteoarthritis participated in 2 training sessions with the same exercise intervention, once guided by an app on a tablet computer and once guided by a physiotherapist in a German university hospital. The order of the sessions was randomized. Attitude toward technology was assessed as predictor before the first session, while mastery experience and the global perceived usefulness of interaction as self-reported outcomes after each session.

Results

In line with our hypotheses, attitude toward technology predicted mastery experience (b=0.16, standard error=0.07, P=.02) and usefulness of interaction (b=0.17, standard error=0.06, P=.01) after the app-based training but not after the training delivered by a physiotherapist (P>.3 in all cases). Mastery experience was lower for the app-based training but reached a very similar level as the physiotherapist-guided training for those holding a very positive attitude toward technology.

Conclusions

The attitude toward technology predicts the extent of mastery experience after app-guided exercise therapy. As mastery experience is highly important for self-efficacy and future exercise behavior, attitudes toward technology should be considered when delivering app-guided exercise treatments.

Trial Registration

German Clinical Trials Register DRKS00015759; https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00015759
Chronic Tinnitus and the Positive Effects of Sound Treatment via a Smartphone App: Mixed-Design Study
Authors: Kutyba Justyna Jolanta , Jędrzejczak W Wiktor , Gos Elżbieta , Raj-Koziak Danuta , Skarzynski Piotr Henryk
Published: February 2022

Background

Tinnitus is a phantom auditory sensation in the absence of an external stimulus. It is accompanied by a broad range of negative emotional symptoms and a significantly lower quality of life. So far, there is no cure for tinnitus, although various treatment options have been tried. One of them is mobile technology employing dedicated apps based on sound therapy. The apps can be managed by the patient and tailored according to their needs.

Objective

The study aims to assess the effect of a mobile app that generates background sounds on the severity of tinnitus.

Methods

The study involved 68 adults who had chronic tinnitus. Participants were divided into a study group (44 patients) and a control group (24 patients). For 6 months those in the study group used a free mobile app that enriched the sound environment with a background sound. Participants were instructed to use the app for at least 30 minutes a day using their preferred sound. The participants in the control group did not use the app. Subjective changes in the day-to-day functioning of both groups were evaluated using the Tinnitus Handicap Inventory (THI) questionnaire, a visual analog scale, and a user survey.

Results

After 3 months of using the app, the THI global score significantly decreased (P<.001) in the study group, decreasing again at 6 months (P<.001). The largest improvements were observed in the emotional and catastrophic reactions subscales. A clinically important change in the THI was reported by 39% of the study group (17/44). Almost 90% of the study participants (39/44) chose environmental sounds to listen to, the most popular being rain and ocean waves. In the control group, tinnitus severity did not change over 3 or 6 months.

Conclusions

Although the participants still experienced limitations caused by tinnitus, the advantage of the app was that it led to lower negative emotions and thus reduced overall tinnitus severity. It is worth considering whether a mobile app might be incorporated into the management of tinnitus in a professional setting.
Impact of a Conformité Européenne (CE) Certification–Marked Medical Software Sensor on COVID-19 Pandemic Progression Prediction: Register-Based Study Using Machine Learning Methods
Authors: Limingoja Leevi , Antila Kari , Jormanainen Vesa , Röntynen Joel , Jägerroos Vilma , Soininen Leena , Nordlund Hanna , Vepsäläinen Kristian , Kaikkonen Risto , Lallukka Tea
Published: February 2022

Background

To address the current COVID-19 and any future pandemic, we need robust, real-time, and population-scale collection and analysis of data. Rapid and comprehensive knowledge on the trends in reported symptoms in populations provides an earlier window into the progression of viral spread, and helps to predict the needs and timing of professional health care.

Objective

The objective of this study was to use a Conformité Européenne (CE)-marked medical online symptom checker service, Omaolo, and validate the data against the national demand for COVID-19–related care to predict the pandemic progression in Finland.

Methods

Our data comprised real-time Omaolo COVID-19 symptom checker responses (414,477 in total) and daily admission counts in nationwide inpatient and outpatient registers provided by the Finnish Institute for Health and Welfare from March 16 to June 15, 2020 (the first wave of the pandemic in Finland). The symptom checker responses provide self-triage information input to a medically qualified algorithm that produces a personalized probability of having COVID-19, and provides graded recommendations for further actions. We trained linear regression and extreme gradient boosting (XGBoost) models together with F-score and mutual information feature preselectors to predict the admissions once a week, 1 week in advance.

Results

Our models reached a mean absolute percentage error between 24.2% and 36.4% in predicting the national daily patient admissions. The best result was achieved by combining both Omaolo and historical patient admission counts. Our best predictor was linear regression with mutual information as the feature preselector.

Conclusions

Accurate short-term predictions of COVID-19 patient admissions can be made, and both symptom check questionnaires and daily admissions data contribute to the accuracy of the predictions. Thus, symptom checkers can be used to estimate the progression of the pandemic, which can be considered when predicting the health care burden in a future pandemic.
Risks and Benefits of Artificial Intelligence in Teledermatology
Authors: Malvehy Josep
Published: February 2022

Background

Recently, deep convolutional neural networks (DCNNs) became of interest as decision support systems for dermoscopic and clinical analysis of skin diseases. Application of artificial intelligence in teledermatology (TD) has been recently reported in several studies as a tool for augmented intelligence.

Objective

In this session, a critical discussion of the opportunities, limitations, and risks of AI in TD will be presented with special attention to recent published studies.

Methods

We reviewed the literature in PubMed and EMBASE databases in the period of January 2018 to November 2021 with the search terms of dermatology, skin cancer, deep learning, and AI (review of the Regulation of Medical Devices, EU 2017/745).

Results

A clear definition of the clinical use of AI in TD has to be considered: primary TD from patients to nurses, primary care physicians or general dermatologists; secondary TD from primary care physicians or nurses to dermatologists; or tertiary TD from dermatologists to hospital dermatologists. In some health models of TD for nurses or primary care physicians, AI assistance can lower the rates of recommending a biopsy or specialist referral, increase self-reported diagnostic confidence, and help to achieve higher diagnostic agreement rates (with dermatologists) in nonreferred cases. The main limitations of the use of AI in TD are the lack of large longitudinal studies, the lack of interpretability of the CNN, biases in the databases and unrepresented dermatological conditions for training, limited representation of different ethnicities, standardization of clinical information and of the images, liability, and privacy issues. How to implement the concept of augmented intelligence in clinical practice with referral TD consultations including structured clinical information and good-quality images will need further research and education among end users. Even if the interface is used for either store-and-forward or live TD, interactive TD is, in principle, straightforward for AI systems, and different TD modalities have particular technological requirements that can reduce their efficacy. Finally, AI systems in TD are under the umbrella of medical device regulatory frames, and specific certification is compulsory. This regulation has the benefit of assuring the quality of the new AI systems and diminishing their risks, but it can simultaneously delay the incorporation of AI tools in clinical practice.

Conclusions

AI has the potential to improve the results of the technology in different aspects in multiple modalities of TD. However, the evidence is weak, and several barriers and limitations have to be resolved for their integration in clinical practice.

Conflicts of Interest

None declared.
Evaluation of Natural Language Processing for the Identification of Crohn Disease–Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project (Preprint)
Authors: Montoto Carmen , Gisbert Javier P , Guerra Iván , Plaza Rocío , Pajares Villarroya Ramón , Moreno Almazán Luis , López Martín María Del Carmen , Domínguez Antonaya Mercedes , Vera Mendoza Isabel , Aparicio Jesús , Martínez Vicente , Tagarro Ignacio , Fernandez-Nistal Alonso , Canales Lea , Menke Sebastian , Gomollón Fernando ,   PREMONITION-CD Study Group
Published: February 2022

BACKGROUND

The exploration of clinically relevant information in the free text of electronic health records (EHRs) holds the potential to positively impact clinical practice as well as knowledge regarding Crohn disease (CD), an inflammatory bowel disease that may affect any segment of the gastrointestinal tract. The EHRead technology, a clinical natural language processing (cNLP) system, was designed to detect and extract clinical information from narratives in the clinical notes contained in EHRs.

OBJECTIVE

The aim of this study is to validate the performance of the EHRead technology in identifying information of patients with CD.

METHODS

We used the EHRead technology to explore and extract CD-related clinical information from EHRs. To validate this tool, we compared the output of the EHRead technology with a manually curated gold standard to assess the quality of our cNLP system in detecting records containing any reference to CD and its related variables.

RESULTS

The validation metrics for the main variable (CD) were a precision of 0.88, a recall of 0.98, and an F1 score of 0.93. Regarding the secondary variables, we obtained a precision of 0.91, a recall of 0.71, and an F1 score of 0.80 for CD flare, while for the variable vedolizumab (treatment), a precision, recall, and F1 score of 0.86, 0.94, and 0.90 were obtained, respectively.

CONCLUSIONS

This evaluation demonstrates the ability of the EHRead technology to identify patients with CD and their related variables from the free text of EHRs. To the best of our knowledge, this study is the first to use a cNLP system for the identification of CD in EHRs written in Spanish.
Asynchronous Remote Assessment for Cognitive Impairment: Reliability Verification of the Neurotrack Cognitive Battery (Preprint)
Authors: Myers Jennifer Rae , Glenn Jordan M , Madero Erica N , Anderson John , Mak-McCully Rachel , Gray Michelle , Gills Joshua L , Harrison John E
Published: February 2022

BACKGROUND

As evidenced by the further reduction in access to testing during the COVID-19 pandemic, there is an urgent, growing need for remote cognitive assessment for individuals with cognitive impairment. The Neurotrack Cognitive Battery (NCB), our response to this need, was evaluated for its temporal reliability and stability as part of ongoing validation testing.

OBJECTIVE

The aim of this study is to assess the temporal reliability of the NCB tests (5 total) across a 1-week period and to determine the temporal stability of these measures across 3 consecutive administrations in a single day.

METHODS

For test-retest reliability, a range of 29-66 cognitively healthy participants (ages 18-68 years) completed each cognitive assessment twice, 1 week apart. In a separate study, temporal stability was assessed using data collected from 31 different cognitively healthy participants at 3 consecutive timepoints in a single day.

RESULTS

Correlations for the assessments were between 0.72 and 0.83, exceeding the standard acceptable threshold of 0.70 for temporal reliability. Intraclass correlations ranged from 0.60 to 0.84, indicating moderate to good temporal stability.

CONCLUSIONS

These results highlight the NCB as a brief, easy-to-administer, and reliable assessment for remote cognitive testing. Additional validation research is underway to determine the full magnitude of the clinical utility of the NCB.
Risks and Benefits of Artificial Intelligence in Teledermatology (Preprint)
Authors: Malvehy Josep
Published: February 2022

BACKGROUND

Recently, deep convolutional neural networks (DCNNs) became of interest as decision support systems for dermoscopic and clinical analysis of skin diseases. Application of artificial intelligence in teledermatology (TD) has been recently reported in several studies as a tool for augmented intelligence.

OBJECTIVE

In this session, a critical discussion of the opportunities, limitations, and risks of AI in TD will be presented with special attention to recent published studies.

METHODS

We reviewed the literature in PubMed and EMBASE databases in the period of January 2018 to November 2021 with the search terms of dermatology, skin cancer, deep learning, and AI (review of the Regulation of Medical Devices, EU 2017/745).

RESULTS

A clear definition of the clinical use of AI in TD has to be considered: primary TD from patients to nurses, primary care physicians or general dermatologists; secondary TD from primary care physicians or nurses to dermatologists; or tertiary TD from dermatologists to hospital dermatologists. In some health models of TD for nurses or primary care physicians, AI assistance can lower the rates of recommending a biopsy or specialist referral, increase self-reported diagnostic confidence, and help to achieve higher diagnostic agreement rates (with dermatologists) in nonreferred cases. The main limitations of the use of AI in TD are the lack of large longitudinal studies, the lack of interpretability of the CNN, biases in the databases and unrepresented dermatological conditions for training, limited representation of different ethnicities, standardization of clinical information and of the images, liability, and privacy issues. How to implement the concept of augmented intelligence in clinical practice with referral TD consultations including structured clinical information and good-quality images will need further research and education among end users. Even if the interface is used for either store-and-forward or live TD, interactive TD is, in principle, straightforward for AI systems, and different TD modalities have particular technological requirements that can reduce their efficacy. Finally, AI systems in TD are under the umbrella of medical device regulatory frames, and specific certification is compulsory. This regulation has the benefit of assuring the quality of the new AI systems and diminishing their risks, but it can simultaneously delay the incorporation of AI tools in clinical practice.

CONCLUSIONS

AI has the potential to improve the results of the technology in different aspects in multiple modalities of TD. However, the evidence is weak, and several barriers and limitations have to be resolved for their integration in clinical practice.
The Practice of Teledermatology Before, During, and After the COVID-19 Pandemic (Preprint)
Authors: Thomas Jayarkar
Published: February 2022

BACKGROUND

Since the beginning of the COVID-19 pandemic, the use of telemedicine has quickly expanded in many countries as clinical frameworks have been forced to shift to virtual platforms to guarantee the safety of patients and staff. Teledermatology, specifically, is well-suited for telemedicine, with evidence supporting its viability, even-handed quality and precision, and cost adequacy in comparison to in-person visits. Teledermatology holds extraordinary potential for expanding access to patients and guaranteeing coherence of care, especially for those from rural and underserved regions.

OBJECTIVE

The aim of this research is to study the practice of teledermatology before, during, and after the COVID-19 pandemic.

METHODS

A literature search using the following keywords was done: online consultations, teledermatology, post-covid. Reports from integrated health care companies (eg, Practo) were also considered.

RESULTS

According to the reports, Indians consulted physicians 10 times more during the second wave (April to May 2021) of the pandemic than in pre–COVID-19 times (January to February 2020). India experienced a record 30-fold spike in web-based physician consultations for COVID-19–related symptoms during this time, as compared to a 6-fold increase during the previous peak. More than 50% of all web-based consultations were for pulmonologists and general physicians for queries related to COVID-19 and the seasonal flu. Other key specialties that were consulted during this period included gynecology (10%), dermatology (8%), and pediatrics (5%). The demand for general physicians and pulmonologists was at an all-time high, according to the data. Cutaneous manifestations were varied, and included urticaria, varicella-like vesicles, transient livedoid eruptions, livedoid vasculopathy, purpuric eruptions, lichenoid photodermatitis, erythroderma, photocontact dermatitis, and generalized pustular figurate erythema.

CONCLUSIONS

Continued advocacy efforts and future studies highlighting teledermatology’s impact, particularly on minorities, underserved patient populations, and in resource-poor settings, are critical for long-term legislative changes to occur and to provide coverage to our most vulnerable patients. This presentation underscores the state of teledermatology prior to the pandemic, the legal statutory changes that permitted teledermatology to rapidly expand during the pandemic, and the significance of continued work after the pandemic. In short, the interruption of everyday life worldwide caused by SARS-CoV-2 has demonstrated that our method of practicing medicine needs reexamining.
Establishing Institutional Scores With the Rigor and Transparency Index: Large-scale Analysis of Scientific Reporting Quality (Preprint)
Authors: Menke Joe , Eckmann Peter , Ozyurt Ibrahim Burak , Roelandse Martijn , Anderson Nathan , Grethe Jeffrey , Gamst Anthony , Bandrowski Anita
Published: February 2022

BACKGROUND

Improving rigor and transparency measures should lead to improvements in reproducibility across the scientific literature; however, the assessment of measures of transparency tends to be very difficult if performed manually.

OBJECTIVE

This study addresses the enhancement of the Rigor and Transparency Index (RTI, version 2.0), which attempts to automatically assess the rigor and transparency of journals, institutions, and countries using manuscripts scored on criteria found in reproducibility guidelines (eg, Materials Design, Analysis, and Reporting checklist criteria).

METHODS

The RTI tracks 27 entity types using natural language processing techniques such as Bidirectional Long Short-term Memory Conditional Random Field–based models and regular expressions; this allowed us to assess over 2 million papers accessed through PubMed Central.

RESULTS

Between 1997 and 2020 (where data were readily available in our data set), rigor and transparency measures showed general improvement (RTI 2.29 to 4.13), suggesting that authors are taking the need for improved reporting seriously. The top-scoring journals in 2020 were the Journal of Neurochemistry (6.23), British Journal of Pharmacology (6.07), and Nature Neuroscience (5.93). We extracted the institution and country of origin from the author affiliations to expand our analysis beyond journals. Among institutions publishing >1000 papers in 2020 (in the PubMed Central open access set), Capital Medical University (4.75), Yonsei University (4.58), and University of Copenhagen (4.53) were the top performers in terms of RTI. In country-level performance, we found that Ethiopia and Norway consistently topped the RTI charts of countries with 100 or more papers per year. In addition, we tested our assumption that the RTI may serve as a reliable proxy for scientific replicability (ie, a high RTI represents papers containing sufficient information for replication efforts). Using work by the Reproducibility Project: Cancer Biology, we determined that replication papers (RTI 7.61, SD 0.78) scored significantly higher (P<.001) than the original papers (RTI 3.39, SD 1.12), which according to the project required additional information from authors to begin replication efforts.

CONCLUSIONS

These results align with our view that RTI may serve as a reliable proxy for scientific replicability. Unfortunately, RTI measures for journals, institutions, and countries fall short of the replicated paper average. If we consider the RTI of these replication studies as a target for future manuscripts, more work will be needed to ensure that the average manuscript contains sufficient information for replication attempts.
Monitoring of Fluoride, Arsenic and Other Heavy Metals in the Shallow Aquifers of Small Tea Gardens Belt of Biswanath District, Assam, India
Authors: Dutta Dr. Joydev
Published: February 2022

Abstract: The Biswanath district is one of the most important tea growing district of Assam. There are big tea estates (under multinational companies) as well as a large number of small tea gardens growing which is like a green revolution. In these gardens heavy amount of artificial agrochemicals are used which contaminates soil as well as drinking water sources. Ground water is an essential and vital component of our life support system. The groundwater resources are being utilized for drinking, irrigation and industrial purposes. There is growing concern on deterioration of groundwater quality due to geogenic and anthropogenic activities. Groundwater, being a fragile must be carefully managed to maintain its purity within standard limits. In tea gardens belt the agro-chemicals affect the quality of groundwater so this investigation has been carried out to assessment the quality of water in this area. Now the Fluoride and Arsenic are major problems in ground water in India and Bangladesh, the heavy metals also affect the chronic health hazards of the people in this area so it is very important to investigation of ground drinking water sources. The ground water of this area is of high iron, manganese, fluoride and arsenic concentration is observed. Finally, stress zones in the study area were delineated using Arc GIS spatial analysis. Keywords: Groundwater quality, Heavy metals, Small tea gardens, Biswanath
E-Auction for Courier Service
Authors: Kiran Rohan , Tajammul Dr. Mohammed
Published: February 2022

Abstract: Auctions have been there since a long time, with advancement in technology everything from food to clothes can be bought and sold at the comfort of your home; similarly auctions have shifted to electronic medium as well. We have sites like eBay where e-auctions are done. Since auctions are usually of commodity/goods this project aims to do it for services that courier companies are offering. The problem that we’re trying to solve is to make a hassle-free system for the customers as well as the service provider where both are authentic, and the privacy of the customer is maintained which is lacking in the present system and a chance for new and individual courier service an equal opportunity to compete. Keywords: e-auction, courier
Hubungan komunikasi interpersonal dengan kepuasan pernikahan pada suami istri yang berkarier
Authors: Wardani Rani Novita , Suharsono Yudi , Amalia Sofa
Published: February 2022

Marital satisfaction will be realized if there is good interpersonal communication between husband and wife. To realize good interpersonal communication, effective interpersonal communication skills are needed so that they can distance themselves from destructive situations that will cause dissatisfaction in marriage. This study aims to determine the relationship between interpersonal communication with the marital satisfaction of husband and wife who have a career with the type of correlational quantitative research. The subject of this study involved 124 people or 62 couples who both worked in Malang district using the snowball sampling technique. Data collection uses the marital satisfaction scale and interpersonal communication scale, then analyzed using Pearson product moment correlation using the SPSS application. Based on the results of the study, the value of the correlation (r) on the husband was 0.791 with a probability of 0.000 (p <0.05) while the correlation value (r) for the wife was 0.700 with a probability of 0.000 (p <0.05). This means that there is a positive and significant relationship between interpersonal communication and marital satisfaction on a career husband and wife.
Improving self-efficacy in musical performance using socratic dialogue
Authors: Ezra Imanuel
Published: February 2022

This research try to investigate the effect of promoting self-efficacy to musical performance in a student, which had been done by explaining the student about the concept of self-efficacy, and a series of Socratic dialogue. This educational intervention was done to a junior high school student (X). Pre and post intervention measuring test were done using Pintrich and Groot’s Motivated Strategies for Learning Questionnaire (1990) that had been adapted to suit the context of music education. This study found that improving self-efficacy level in a student using Socratic Dialogue does have positive effect on musical performance and practice
Pengaruh psychological capital terhadap work engagement pada karyawan
Authors: Hariyadi Muhammad Husain
Published: February 2022

Work engagement is defined as positive emotions, which is characterized by vigor, dedication, and absorbtion. Psychological capital is positive psychological state of someone who has the following characteristics: self-efficacy, hope, optimism, and resiliency. The purpose of this study is to examine the effect of psychological capital towards work engagement on employee. This study used quantitative method and use ramdom sampling for taking samples. The research subjects were 122 employee. The measurements used were psychological capital question (PCQ) and utrecht work engagement scale (UWES). The data analysis technique uses linear regression methods. The results showed that there was a psychological capital effect on work engagement.
Environmental Radicalism in Public Organizations of the FRG at the Present Stage
Authors: Berezina I. S. , Tsverianashvili I. A. , Shutman D. V.
Published: February 2022

This article is devoted to the study of public environmental organizations in Germany. The largest of them are “NABU” and “BUND”, which have existed for a long time. They operate at a high scientific level throughout the country, from mass events and environmental education to study of global environmental problems and the development of ways to solve them. Particular attention is paid to radical environmental organizations such as “Robin Wood”, “Earth First!”, “Earth Liberation Front”and” Animal Liberation Front”. Their activities are concentrated locally, and their methods of solving environmental problems are harder. As a rule, eco-radical protests are aimed at attracting public attention and encouraging the ruling authorities to take measures to change the environmental situation in a particular region. The attitude of the population to such methods of struggle is ambiguous, but no one is indifferent. Despite the peak of activity of these organizations has passed, this does not prevent them from existing, conducting educational activities and attracting new supporters to their ranks, since some of their initiatives remain relevant to this day.
Evolution of Digital Technologies Used in Logistics
Authors: Volkova A. A. , Nikitin Yu. A. , Plotnikov V. A.
Published: February 2022

The modern economy is heavily influenced by digitalization, which is becoming a driver of economic growth and structural transformation of the economy. The Covid-19 pandemic gave additional impetus to these processes, stimulating the active use of digital remote working technologies. In different sectors of the economy, the impact of digitalization is different. The subject of study within the framework of the article is digitalization in the logistics industry. The main directions of digital transformation of logistics, priority technologies used in digital transformation, as well as positive effects and barriers to the development of digitalization in logistics, were highlighted.
PENERAPAN PROJECT-BASED LEARNING DIPADU GROUP INVESTIGATION UNTUK MENINGKATKAN MOTIVASI, DAN HASIL BELAJAR MAHASISWA PENDIDIKAN BIOLOGI UNIVERSITAS MUHAMMADIYAH MALANG
Authors: Hakim Nasrul
Published: February 2022

This research to increase motivation and learning outcomes of students  Biology Education semester VB at the University of Muhammadiyah Malang Environmental Sciences courses through the implementation of Project Based Learning combined-based Lesson Study Group Investigation. This research is Classroom Action Research. The research approach used is qualitative approach, consisted of two cycles, each cycle consisting of the stages of the action plan, action, observation, and reflection. The approach taken is a qualitative descriptive approach.               The results showed that the application of PjBL combined GI can increase student motivation to learn. Attention components increased by 3.6%, Relevance components increased by 6.3%, Convidence component increased by 9.1%, while the component Satisfaction increased by 2%. Student learning outcomes also increased. Students who got an A increased from 29.3% in Cycle I to 48.8% in Cycle II. Students who receive a grade of B + indicates the number remains, which amounted to 46.3%. In connection with that then, the percentage of students who scored B fell from 24.4% in Cycle I to 4.9% in Cycle II. Based on the results concluded that the application of learning models  PjBL combined GI can increase student motivation and learning outcomes. It is therefore advisable to adopt a Biology professor model PjBL combined GI by Lesson Study because it has been shown to increase motivation and cognitive learning outcomes of students. Keywords: Project Based Learning, Group Investigation, Lesson Study, motivation, and Learning Outcome.
Implementasi Jaringan Syaraf Tiruan Pada Pendeteksi Keaslian Dan Nominal Uang
Authors: Rini Linda Sekar , Karya Oki Teguh , Sirait Fadli
Published: February 2022

Uang merupakan alat yang digunakan untuk transaksi jual beli oleh seluruh manusia. Uang menjadi benda berharga bagi banyak orang untuk kehidupan sehari-hari. Namun uang banyak dipalsukan oleh orang yang tidak bertanggung jawab untuk melakukan transaksi. Pemalsuan uang kertas di Indonesia pada tahun 2019 sebesar 8 lembar per 1 juta uang yang beredar. Vending machine merupakan sebuah mesin yang berfungsi untuk menjual barang secara otomatis dengan cara memasukkan uang sesuai dengan harga barang yang tertera. Namun pada pendeteksian nominal uang dan keaslian uang ini terbatas hanya pada kondisi uang yang baik. Apabila kondisi uang kurang baik, maka uang konsumen akan ditolak. Penelitian ini dilakukan untuk mengimplementasikan Jaringan Syaraf tiruan dengan mencari model terbaik. Model terbaik akan diverifikasi kehandalannya dan keakuratannya dalam mengenal pola warna uang kertas baik asli maupun palsu, dengan menggunakan metode backpropagation dengan fungsi aktivasi sigmoid untuk mendeteksi keaslian dan nominal uang kertas. Penelitian dilakukan dengan mengambil data nilai RGB dari masing-masing nominal uang dengan menggunakan sensor warna TCS3200. Hasil dari penelitian didapatkan model terbaik menggunakan 5 hidden layers dengan nodes 75, 38, 19, 10, dan 5. Memiliki tingkat prediksi sebesar 46,8% dari jumlah keseluruhan dataset testing yang digunakan sebanyak 600 data.
Penerapan Multi-Label Image Classification Menggunakan Metode Convolutional Neural Network (CNN) Untuk Sortir Botol Minuman
Authors: Trisiawan Inggis Kurnia , Yuliza Yuliza
Published: February 2022

Dalam industri Fast Moving Consumer Goods (FMCG) seperti air minum kemasan, quality control berperan penting untuk menjaga produk yang baik, oleh karena itu diperlukan metode yang cepat dan andal untuk menganalisis data lapangan dan memberikan informasi yang dapat membantu dalam menentukan kualitas produk. Selama proses produksi di pabrik, botol air minum sering kali memiliki beberapa cacat misalnya, tutup dan label yang tidak ada atau tidak terpasang dengan benar, serta air yang kurang terisi pada botol. Semua masalah tersebut dapat menurunkan kualitas produk yang dikirim ke konsumen. Untuk mengatasinya, inspeksi visual menjadi teknik wajib di lini produksi. Metode inspeksi visual tradisional sering kali memerlukan beberapa kamera dan perangkat untuk mendeteksi beberapa cacat pada produk, masing-masing digunakan untuk mendeteksi jenis masalah yang berbeda. Dalam penelitian ini, digunakan metode Multi-Label Image Classification dengan Convolutional Neural Network (CNN) sebagai algoritma untuk mendeteksi beberapa cacat pada botol air sekaligus. Terdapat enam class label yaitu isi kurang, isi kosong, tutup rusak, tutup tidak ada, label rusak, dan label tida ada. Masing-masing class label tersebut mewakili kemungkinan adanya cacat yang ada pada botol. Beberapa kombinasi feature learning layer dan fully connected layer digunakan untuk mengekstrak pola dan mengklasifikasikan gambar masukan. Untuk memfasilitasi penelitian ini, dikumpulan dataset gambar botol air dengan skala besar, dimana didalam datset tersebut merepresentasikan enam class label yang telah ditentukan. Saat diuji dengan dataset baru, model CNN mendapatkan hasil akurasi prediksi 98,526%, dan mendapat rata-rata akurasi sebesar 97,71% ketika diuji dengan 10-fold cross validation.
Effects of a state subsidy programme in the small business sector: The case of the emerging market
Authors: Aluko Timothy Olaniyi , Booyse Nicolaas
Published: February 2022

This paper examines the effects of the state subsidy programme on the beneficiary’s firm operating status in the small business sector. The state subsidy is a matching grant-funded programme to black small businesses in South Africa to improve their competitiveness within the mainstream economy. A cross-sectional time-series secondary dataset of 945 beneficiary firms from 2012 to 2016 was utilised in the study. Data were analysed using a descriptive, multiple comparison Scheffé test and binary logistic regression technique estimated at 95% confidence intervals level of significance. The findings revealed that the state subsidy programme is a pivotal contributor to the black firm’s operating status; firms in the services and construction sectors show significant improvement in their operating status and had about twice the odds of being in operation compared to firms in the manufacturing and agricultural sectors. This study will assist state programme administrators and policymakers to realise the importance of the services sector, which emerged as a major driver of innovation in the growth of local economies (Kazekami, 2017). Neglecting the sector might be counterproductive in case of a similar programme in the future. This study is limited by scope as only one state subsidy programme in South Africa was studied which may not be enough to make an inference.
The effect of mono-diglycerides on the mechanical properties, microstructure and physical stability of an edible rice bran wax -- gelatin biphasic gel system
Authors: Saffold Ariana , Acevedo Nuria
Published: February 2022

Bigels, are prepared by homogenization of an organogel and hydrogel.
Bigels can offer improved properties when compared to other gelled
systems due to its semi-solid internal phase and supramolecular
interactions between components. The objective of this study was to
determine the effect of mono-diglycerides (MDG) on the supramolecular
structure and interactions, physical stability and mechanical properties
of a rice bran wax (RBW)–gelatin bigels. The organogel-to-hydrogel
(OG:HG) ratios tested were 60:40, 70:30 and 80:20 with MDG incorporated
at four concentrations (0.5, 1, 2, 3% (w/w)). Bigels were analyzed
using nuclear magnetic resonance spectroscopy (NMR), confocal scanning
laser microscopy (CSLM), Fourier transform infrared spectroscopy (FTIR),
texture analysis and liquid binding capacity studies. The results showed
that MDG have a dual effect on the structural organization and stability
of the systems; they act as emulsifiers and/or crystallization
modifiers. CSLM and FTIR showed that the addition of MDG had the
greatest effect on the microstructure of the 60:40 OG:HG ratio, where
MDG concentrations 0.5 and 1% (w/w) exhibited a reduction in the size
of the oleogel regions while concentrations 2 and 3% (w/w) showed a
phase inversion. MDG addition resulted in a gradual decrease in bigel
hardness, but an enhancement of physical stability.
Soil Characteristics of University Lands: A Case Study of Five Representative Campuses in Different Regions of China
Authors: Du Yunyue , Liu Jianv , He Yuqing , Wang Mingzhu
Published: February 2022

With the increasing of university, the soil environmental problems
caused by extensive campus land use need to be addressed. In China,
little related research has been conducted on present soil status of
university campuses based on comprehensive index system. In this study,
five university campuses in different regions of China were selected as
representative, and three different functional areas were sampled at
each campus. Basic soil, pollution, and ecological indicators were used
in combination to analyze the present status of the tested soils. The
results showed that the pH values were slightly higher than local
background values, while the total organic carbon (TOC) content was
significantly higher than the background values. The concentrations of
typical heavy metals, total petroleum hydrocarbons (TPHs) and polycyclic
aromatic hydrocarbons (PAHs) were at safe levels, though Cd and Hg
concentrations were higher than the background values. The concentration
of TPHs was higher at the gates of the university campuses, and the PAHs
in surface soils were mainly low in molecular weight. Actinobacteria and
Proteobacteria, which play important roles in nitrogen cycling, were the
dominant bacteria. Most indicator values differed significantly among
the campuses, but not among different functional areas on the same
campus. Vegetation cover and TOC were the most strongly correlated with
the other indicators. Overall, the soils at the university campuses were
not polluted, and the soil characteristics appeared to be well managed.
This study provides a reference for the construction, rational use, and
protection, of the ecological environments of university campus soils.
Measuring Localization in the Age of Economic Globalization
Authors: Baris Kristina V. , Crisostomo Ma. Charmaine R. , Garay Krizia Anne V. , Jabagat Christian Regie J. , Mariasingham Mahinthan J. , Mores Elyssa Mariel T.
Published: February 2022

The agglomeration indexes together aim to show how domestic sectors contribute to the global economy. The indexes measure the scale of value-added sourced from and/or absorbed into domestic economy sectors and the concentration of value added in the domestic market. They are extended to account for the distribution of activities within domestic sectors.
Multivalued Hardy-Rogers type ЗΘ-contraction and generalized simulation functions
Authors: Ali Ahsan , Hussain Azhar , Mitrovic Zoran
Published: February 2022

The purpose of this paper is to introduce the notion of multivalued
Hardy-Rogers ??-contraction in the sense of generalized simulation functions
and to present the corresponding fixed point results with some examples.
Moreover, we study the strict fixed point and well-posedness, data
dependence, as well as, the Ulam-Hyres stability of the fixed point problem.
As an application, we prove the existence of the solution for nonlinear
fractional differential equation involving Caputo fractional derivative.
Geometric structures on Finsler Lie algebroids and applications to optimal control
Authors: Peyghan Esmaeil , Popescu Liviu
Published: February 2022

In this paper some geometric structures on Finsler Lie algeboids are studied and h-basic distinguished connections are introduced. Specially, Ichijy? connection that is a special h-basic distinguished connection is investigated. The generalized Berwald Lie algebroids are presented, as a particular case of Finsler Lie algebroids and Wagner-Ichijy? connection, that is a special case of Ichijy? connection, is studied. Moreover, the Wagner Lie algebroid is introduced and some equivalent conditions for this space are given. Finally, an optimal control problem is solved using the Pontryagin Maximum Principle in the framework of a Finsler Lie algebroid.
The minimum harmonic index for bicyclic graphs with given diameter
Authors: Abdolghafourian Adeleh , Iranmanesh Mohammad
Published: February 2022

The harmonic index of a graph G, is defined as the sum of weights 2/d(u)+d(v)
of all edges uv of G, where d(u) is the degree of the vertex u in G. In this
paper we find the minimum harmonic index of bicyclic graph of order n and
diameter d. We also characterized all bicyclic graphs reaching the minimum
bound.
Generalized inverses - idempotents and projectors
Authors: Fu Zhimei , Zuo Kezheng , Yan Hui , Zou Honglin , Chen Yang
Published: February 2022

In this paper, we present necessary and sufficient conditions for X? to be
idempotent and orthogonal idempotent, where X? ? {A?, AD, AD?, A?,D Aw}.
Several characteristics when X? is idempotent and orthogonal idempotent are
derived by core-EP decomposition. Additionally, we give some equivalent
conditions when matrix A is orthogonal idempotent, using the properties of
some generalized inverses of A.
Lupaş post quantum blending functions and Bézier curves over arbitrary intervals
Authors: Khan Asif , Mansoori M.S. , Iliyas Mohammad , Mursaleen M.
Published: February 2022

In this paper, we extend the properties of rational Lupa?-Bernstein blending
functions, Lupa?-B?zier curves and surfaces over arbitrary compact
intervals [?,?] in the frame of post quantum-calculus and derive the
de-Casteljau?s algorithm based on post quantum-integers. We construct a two
parameter family as Lupa? post quantum Bernstein functions over arbitrary
compact intervals and establish their degree elevation and reduction
properties. We also discuss some fundamental properties over arbitrary
intervals for these curves such as de Casteljau algorithm and degree
evaluation properties. Further we construct post quantum Lupa? Bernstein
operators over arbitrary compact intervals with the help of rational Lupa?-
Bernstein functions. At the end some graphical representations are added to
demonstrate consistency of theoretical findings.
Electrochemical reduction of tungsten (VI) oxide from a eutectic melt CaCl2-NaCl under potentiostatic conditions
Authors: Bosenko Olha , Kuleshov Serhii , Bykov Valerii , Omel‛chuk Anatoliy
Published: February 2022

The paper presents results of the study of the electrochemical reduction of tungsten(VI) oxide in a melt of the eutectic composition 52 mol% CaCl2 and 48 mol% NaCl at a liquid gallium electrode. Scanning electron microscopy and X-ray diffraction methods were used to study the microstructures of the obtained powders. The Rietveld method which is based on diffraction patterns were used to calculate the quantitative content of phases in WO3 reduction products. The thermodynamic properties of the electrolysis process were investigated by voltammetry. It is shown that a necessary condition for the electrochemical reduction of WO3 is electrolysis at potentials higher than the standard electrode potential of decomposition of calcium tungstate, which is formed by the interaction of tungsten oxide with calcium chloride. The reduction can take place by both electrochemical and metallothermic mechanisms depending on the conditions of electrolysis. The reduction product is fine tungsten with a particle crystallite size of up to 1 ?m.