bluuebunny/crossref_metadata_2025 huggingface dataset:
Memory unlocks the future of biomolecular dynamics: Transformative tools to uncover physical insights accurately and efficiently
Authors: Dominic III Anthony , Cao Siqin , Montoya-Castillo Andres , Huang Xuhui
Published: April 2023

Conformational changes underpin function and encode complex biomolecular mechanisms. Gaining atomic-level detail of how such changes occur has the potential to reveal these mechanisms and is of critical importance in identifying drug targets, facilitating rational drug design, and enabling bioengineering applications. While the past two decades have brought Markov State Model techniques to the point where practitioners can regularly use them to glimpse the long-time dynamics of slow conformations in complex systems, many systems are still beyond their reach. In this perspective, we discuss how memory can reduce the computational cost to predict the long-time dynamics in these complex systems by orders of magnitude and with greater accuracy and resolution than state-of-the-art Markov State Models. We illustrate how memory lies at the heart of successful and promising techniques, ranging from the Fokker-Planck and generalized Langevin equations to deep learning recurrent neural networks and generalized master equations. We delineate how these techniques work, identify insights that they can offer in biomolecular systems, and discuss their advantages and disadvantages in practical settings. We show how generalized master equations can enable the investigation of, for example, the gate-opening process in RNA polymerase II and demonstrate how our recent advances tame the deleterious influence of statistical underconvergence of the molecular dynamics simulations used to parameterize these techniques. This represents a significant leap forward that will enable our memory-based techniques to interrogate systems that are currently beyond the reach of even the best Markov State Models. We conclude by discussing some current challenges and future prospects for how exploiting memory will open the door to many exciting opportunities.
PMTransformer: Universal Transfer Learning and Cross-material Few-shot Learning in Porous Materials
Authors: Park Hyunsoo , Kang Yeonghun , Kim Jihan
Published: April 2023

Porous materials have emerged as a promising solution for a wide range of energy and environmental applications. However, the asymmetric development in the field of MOFs has led to data imbalance when it comes to MOFs versus other porous materials such as COFs, PPNs, and zeolites. To address this issue, we introduce PMTransformer (Porous Material Transformer), a multi-modal pre-trained Transformer model pre-trained on a vast dataset of 1.9 million hypothetical porous materials, including metal-organic frameworks (MOFs), covalent-organic frameworks (COFs), porous polymer networks (PPNs), and zeolites. PMTransformer showcases remarkable transfer learning capabilities, resulting in state-of-the-art performance in predicting various porous material properties. To address the challenge of asymmetric data aggregation, we propose cross-material few-shot learning, which leverages the synergistic effect among different porous material classes to enhance fine-tuning performance with a limited number of examples. As a proof of concept, we demonstrate its effectiveness in predicting bandgap values of COFs using the available MOF data in the training set. Moreover, we established cross-material relationships in porous materials by predicting unseen properties of other classes of porous materials. Our approach presents a new pathway for understanding the underlying relationships between various classes of porous materials, paving the way toward a more comprehensive understanding and design of porous materials.
EVOLVE: An Evolutionary Toolbox for the Design of Peptides and Proteins
Authors: Browning Nicholas J. , Perez Marta A.S. , Brunk Elizabeth , Rothlisberger Ursula
Published: April 2023

We report the development and application of a versatile evolutionary algorithm toolbox (EVOLVE) targeted at the engineering and optimisation of peptides and proteins via atomistic simulation. As a benchmark study, we have applied the singleobjective genetic algorithm within EVOLVE to a prototypical 20 amino acid long alpha-helix, ALA6-X8-ALA6, where the sequence of the central eight amino acids (X) has been optimised in di erent chemical environments. The  tness function driving the optimisation is based on a molecular mechanics evaluation of the energy of a given sequence with respect to a reference homo-ALA helix, coupled with implicit solvent corrections. The simulations performed show EVOLVE consistently converges to low-energy solutions in a vast search space of 177^8 = ca. 10^17 possible sequences and side chain conformations, and relatively few iterations are required to reach these near-optimal structures. In all environments, the identi ed optimal sequences of the alpha-helices are considerably more stable than all possible homo-helices, and thus go beyond what is accessible via exfoliative enumeration.
GUIDEMOL: a Python graphical user interface for molecular descriptors based on RDKit
Authors: Aires-de-Sousa Joao
Published: April 2023

GUIDEMOL is a Python computer program based on the RDKit software to process molecular structures and calculate molecular descriptors with a graphical user interface using the tkinter package. It can calculate descriptors already implemented in RDKit as well as grid representations of 3D molecular structures using the electrostatic potential or voxels. The GUIDEMOL app provides an easy access to RDKit tools for chemoinformatics users with no programming skills and can be adapted to calculate other descriptors or to trigger other procedures. A CLI is also provided for the calculation of grid representations. The source code is available at https://github.com/jairesdesousa/guidemol
Charge-dependent crossover in aqueous organic redox flow batteries revealed using on-line NMR spectroscopy
Authors: Latchem Emma J. , Kress Thomas , Klusener Peter A. A. , Kumar R. Vasant , Forse Alexander C.
Published: April 2023

Aqueous organic redox-flow batteries have emerged as promising candidates for the low-cost long-duration energy storage solution that is required to integrate renewable energy into the electricity grid. However, their widescale deployment is currently limited by crossover of redox-active material through the separator membrane, which leads to capacity decay over time. Traditional membrane permeability measurements only account for diffusional crossover, and do not capture all contributions to membrane transport in working batteries, including migration. Here we present a new method for characterising crossover in operating aqueous organic redox-flow batteries, using on-line 1H NMR analysis. Using the 2,6-dihydroxyantharquinone/ferrocyanide battery as a model, we observed a doubling of 2,6-dihydroxyantharquinone crossover rates during battery charging, which we believe is due to additional transport by migration. This method can distinguish different transport mechanisms during battery charging and will aid the optimisation of charging protocols and membrane design in the future.
Kinetics and Mechanism of Heterogeneous Voltage-Driven Water-Dissociation Catalysis
Authors: Chen Lihaokun , Xu Qiucheng , Boettcher Shannon
Published: April 2023

The water-dissociation reaction (WD, H2O → H+ + OH−) affects the rates of electrocatalytic reactions and the performance of bipolar membranes (BPMs). How catalyzed interfacial WD is driven by voltage, however, is not understood. We designed a BPM electrolyzer with two reference electrodes attached laterally to each layer/side (here, poly(arylpiperidinium) and perfluorosulfonic-acid ionomers) to measure WD current and overpotential (ηwd), without soluble electrolyte and as a function of temperature and catalyst-layer properties. Using TiO2-P25 nanoparticles as a model WD catalyst, Arrhenius-type analysis yields a WD activation energy Ea of 25–30 kJ mol−1, only weakly dependent ηwd. The pre-exponential factor is unexpectedly proportional to ηwd. With D2O, ηwd is ~2 to 4 times larger than in H2O, largely due to a lower pre-exponential factor. Without catalyst, ηwd is ~10-fold larger and Ea decreases from 34 to 24 kJ mol−1 as ηwd goes from 0.1 to 1 V. To explain these data, we propose a new WD mechanism where metal-oxide nanoparticles, polarized by the voltage across the BPM junction, serve as i) proton acceptors (from water) on the negative sides of the particle to generate free OH−, ii) proton donors on the positive sides to generate H3O+, and iii) surface proton conductors that connect spatially separate donor/acceptor sites. Increasing electric-field strength with overpotential orients water for proton-transfer elementary steps comprising WD, increasing the pre-exponential factor and hence rate, but is insufficient to lower Ea. This understanding will accelerate development of electrocatalysis, electrodialysis, carbon-capture, and carbon-utilization technologies that require efficient WD.
Identifying Coarse-Grained Representations for Electronic Predictions
Authors: Wang Chun-I , Maier Charlie , Jackson Nicholas
Published: April 2023

Coarse-grained (CG) simulations are an important computational tool in chemistry and materials science. Recently, systematic ``bottom-up" CG models have been introduced to capture electronic structure variations of molecules and polymers at the CG resolution. However, the performance of these models is limited by the ability to select reduced representations that preserve electronic structure information, which remains a challenge. We propose two methods for (i) identifying important electronically coupled atomic degrees of freedom and (ii) scoring the efficacy of CG representations used in conjunction with CG electronic predictions. The first method is a physically-motivated approach that incorporates nuclear vibrations and electronic structure derived from simple quantum chemical calculations. We complement this physically-motivated approach with a machine learning technique based on the marginal contribution of nuclear degrees of freedom to electronic prediction accuracy using an equivariant graph neural network. By integrating these two approaches, we can both identify critical electronically coupled atomic coordinates and score the efficacy of arbitrary CG representations for making electronic predictions. We leverage this capability to make a connection between optimized CG representations and the future potential for ``bottom-up" development of simplified model Hamiltonians incorporating non-linear vibrational modes.
Prediction of adenomyosis in patients with uterine fibroids
Authors: Shramko Svetlana V. , Zorina Veronika N. , Vlasenko Anna E. , Sabantsev Maksim A.
Published: April 2023

Aim. To determine the clinical, anamnestic, and immunological predictors of adenomyosis by developing a prognostic model of uterine fibroids with concomitant adenomyosis.
Materials and methods. A retrospective single-center study was conducted at Kurbatov Novokuznetsk City Clinical Hospital №1, from 2012 to 2019. The model included 284 women with histologically confirmed uterine fibroids, of which 34.9% (99/284) were fibroids with adenomyosis and 65.1% (185/284) were isolated uterine fibroids. Logistic regression was used to develop the mathematical model.
Results. Predictors of adenomyosis in patients with uterine fibroids have been established: age 43 years and older, concomitant endometrial hyperplasia, chronic inflammatory diseases of the cervix, menometrorrhagia, history of childbirth, history of endometrial disorders, varicose veins of the lower extremities, history of appendectomy, blood serum lactoferrin of more than 1.8 mg/L, interleukin-6 levels more than 2.8 pg/mL. The model has an accuracy of 91%, a sensitivity of 90%, a specificity of 92%, a positive predictive value of 85%, and a negative predictive value of 94%.
Conclusion. The established predictors of adenomyosis allow for predicting the risk of adenomyosis in patients with uterine fibroids, facilitating effective treatment choices.
Flucovag: efficacy and safety in patients with vulvovaginal candidiasis: a prospective, multicenter, open-label, randomized, comparative clinical study
Authors: Kutueva Flora R. , Glushakov Ruslan I. , Tapilskaya Natalia I. , Nikolaeva Alla E. , Poromov Artem A. , Pustotina Olga A.
Published: April 2023

Design. A prospective, multicenter, open-label, randomized, comparative clinical study.
Objective. To compare the efficacy and safety of Flucovag (sertaconazole) vaginal suppositories, 300 mg (OTCPharm JSC, Russia; manufactured by Altpharm LLC, Russia) and the brand-name drug Zalain (sertaconazole), 300 mg (Egis Pharmaceuticals PLC, Hungary) in the treatment of vulvovaginal candidiasis.
Materials and methods. The study included female patients (1855 years old) with uncomplicated vulvovaginal candidiasis treated in outpatient settings. In total, 220 patients were randomized into two groups: group 1 (n=110) received a single dose of Flucovag vaginal suppositories, and group 2 (n=110) received a single dose of Zalain vaginal suppositories. Seven days after the treatment, its clinical efficacy was evaluated. In case of incomplete clinical improvement after 7 days, patients received an additional dose of Flucovag (n=4) or Zalain (n=5) suppositories, respectively.
Results. At the end of therapy in the study groups, the clinical cure rates (99.1% vs. 96.3%, p0.05), microscopic, and culture results were comparable. No serious adverse events were reported in both groups throughout the study.
Conclusion. The study results demonstrate a favorable safety profile and high antifungal activity of sertaconazole.
Pathogenesis of dyspareunia associated with pelvic floor dysfunction: A review
Authors: Silantyeva Elena S. , Orazov Mekan R. , Khamoshina Marina B. , Astafeva Evgeniia K.
Published: April 2023

Dyspareunia is a condition associated with a wide range of disorders. Pelvic floor dysfunction, manifesting as a myofascial syndrome or pelvic floor muscle hypertonia, may predict dyspareunia in women in different age groups. The review addresses the current view on the dyspareunia pathogenesis associated with pelvic floor muscle dysfunction.
Role of High Intensity Interval Training on Reproductive Health Among Women: A Narrative Review
Authors: Simon Simi , Kachhwaha Rajendra , Pavani Kolachala Ramya , Rajandekar Tejal
Published: April 2023

The present paper is a literature review on factors leading to infertility among women and a discussion on effectiveness of High intensity interval training HIIT programme for improving reproductive health. Infertility is one of the major concerns among the younger population worldwide. Obesity and physical inactivity have been found to be the common factors leading to infertility. Insulin resistance seen among the obese women results in hyperandrogenemia leading to several other consequences and finally marks anovulation. This review examined recent peer-reviewed literature including primary studies and systematic reviews that examined the reasons leading to infertility and effectiveness of HIIT on reproductive health of infertile women. Twenty-six studies were included that described incidence and prevalence role of hormonal imbalance obesity HIIT and its effects on insulin sensitivity and obesity. Implementation of HIIT was found effective in regularization of ovulatory cycles weight loss and improving insulin sensitivity. Some studies were done with combination of other interventions. However less dropouts were noticed in exercise as compared with other interventions. Simple description and comprehensive clarification on HIIT inside this literature might assist to recognize the efficacy of exercising on reproductive fitness of women. Overall evidence recommended that HIIT may provide health benefits to women and in the treatment of infertility if deliberate and carried out as per proper protocol in progressive interdisciplinary and approachable manner for women.
Does Scapular Dyskinesis Really Matter? A Narrative Review
Authors: R Pruthviraj , V Shenai Anusha , Stephiya Davis Chiramal
Published: April 2023

Subacromial pain disorder being the common presentation of shoulder pain is one among the prevalent musculoskeletal disorders. Variations in scapular kinematics are often associated with different conditions of shoulder pain. Increased scapular internal rotation decreased scapular upward rotation and decreased posterior tilt are common changes. Its still unclear whether shoulder pain is caused by or caused by altered scapular motion. This study aims to determine the certainties and uncertainties pertaining to Scapular Dyskinesis. A database search was conducted in PubMed MEDLINE SCOPUS and Google Scholar for studies including Scapular Dyskinesis as a condition as well as functional adaptation. Scapular Dyskinesis has been linked to an increased risk of shoulder pain in athletes and its possible that this is also true in the general population. Its been discovered in overhead athletes as a variation. A lack of definitive reliability exists in the measures used to determine Scapular location. There was also no evidence of a cause-and-effect relationship between Scapular Dyskinesis and shoulder pathology in studies. In terms of Scapular Dyskinesis there are certainties and uncertainties. There have been gaps in the cause-effect relationship of Scapular Dyskinesis and shoulder pathology and also the evaluation of scapula role in dynamic activity. As a result more research is necessary to understand the significance of Scapular Dyskinesis and its function in both healthy people and people with shoulder dysfunctions.nbsp
Presidential Debate (on the material of the 2020 Election Campaign in the USA)
Authors: Krapyva Yuliia , Sukhenko Anna
Published: April 2023

The paper in question is devoted to the study of political debates which are held during the presidential election campaign, based on the first debate between the Republican nominee D. Trump and the Democratic nominee J. Biden in the USA.

The above mentioned phenomenon is studied from the standpoint of communicative linguistics. During political communication the debate in its classical meaning tends to such a form of controversy as polemics, in which the main efforts of the debaters are focused on the asserting their views on the issue under discussion rather than seeking consensus. Presidential debate has the features of the conflict discourse.

The debaters compete for the electorate sympathy, with the main goal being to win power. The communicants’ intention to defeat the opponent and to get the votes determines the optimal way to implement it. The candidates exploit two principal communicative strategies, namely to create and maintain a positive self-image, as well as to discredit the opponent. To realize the first strategy the following tactics are used: positive presenting of the situation, self-praising, promising, and denying the allegation. The tactics of blackening of the competitor, accusing the opponent, insulting and threatening the other debater are effective to implement the second strategy.

The analysis of the US presidential debate dated September 29, 2020 has revealed that the choice of tactics primarily depends on the following parameters: 1) the topic under discussion, 2) the official status of the debater (it is crucial whether the participant of the event is the incumbent or not), 3) the political past of the candidate.

During the debate under consideration both nominees were vulnerable to criticism, as D. Trump was the incumbent president and J. Biden had a long track record, including his serving as the vice-president under B. Obama (2009–2017). The attempts of both parties to evade direct questions of the moderator and to destabilize the opponent’s emotional state with the help of verbal aggression were observed.
PENGARUH INVESTASI DAN PEMBANGUNAN MANUSIA DALAM PENGENTASAN KEMISKINAN DI INDONESIA
Authors: Irvanie Dimas Bayu Nur , Panjawa Jihad Lukis
Published: April 2023

This study aims to examine the short-term and long-term effects of foreign direct investment, human development, economic growth, and electricity infrastructure on poverty alleviation efforts, which are proxied by the number of poor people below the national poverty line in Indonesia. The data used are time series data from 1996 to 2019, the methods used are Auto Regressive Distributed Lag (ARDL) and Error Correction Model (ECM) or ARDL-ECM. The results of this study indicate that in the short term foreign direct investment and human development index variables have a significant negative effect on poverty. And in the long term, only the electricity infrastructure variable has a significant negative effect on poverty in Indonesia. Meanwhile, the economic growth variable does not have a significant effect, either in the short or long term, on poverty in Indonesia.
FAKTOR YANG MEMENGARUHI MINAT BERINVESTASI PADA MAHASISWA UNIVERSITAS PGRI MADIUN
Authors: Lestari Tika Putri , Wihartanti Liana Vivin , Styaningrum Farida
Published: April 2023

This study aims to analyze and measure the influence of financial literacy, self-efficacy, social environment, and technological advances on the investment interests of PGRI Madiun University students. The research design used is quantitative research using the explanatory research method. The data source used is primary data. The total population is 210 students, and the sampling technique  used is purposive random sampling using the Slovin formula. The data techniques used in this study are descriptive analysis, instrument testing, classical assumption test, the multiple linear regression test, the t test, and the coefficient of determination test with the help of SPSS software program version 25. These results show that financial literacy, self-efficacy, and technological advances have a significant positive effect on investment interest. While in this study the social environment variable didn’t have a significant positive effect on investment interest.
A framework to assess potential health system resilience using fuzzy logic
Authors: Jatobá Alessandro , de Castro Nunes Paula , de Carvalho Paulo V.R.
Published: April 2023

Objectives.

To develop and test a framework to assess the potential of public health systems to maintain a resilient performance.

Methods.

Quantitative data from public databases and qualitative data from technical reports of Brazilian health authorities were used to develop the framework which was assessed and modified by experts. Fuzzy logic was used for the mathematical model to determine scores for four resilient abilities – monitoring, anticipation, learning, and response – and an aggregated coefficient of resilient potential in health care. The coefficient measures used data from before the coronavirus disease 2019 (COVID-19) pandemic. These were compared with measures of the actual performance of health systems in 10 cities in Brazil during the pandemic.

Results.

The coefficient of resilient potential in health care showed that the cities most affected by COVID-19 had lower potential for resilient performance before the pandemic. Some local health systems had adequate response capabilities, but other abilities were not well developed, which adversely affected the management of the spread of COVID-19.

Conclusions.

The coefficient of resilient potential in health care is useful to indicate important areas for resilient performance and the different types of resilience capacities that can be considered in different contexts and levels of public health systems. Regular assessment of the potential of health systems for resilient performance would help highlight opportunities for continuous improvement in health system functions during chronic stress situations, which could strengthen their ability to keep functioning in the face of sudden disturbances.
Effects of Gynura procumbens leaf-based meal on glucose level, lipid profile and
mineral content of alloxan-induced diabetic mice
Authors: Nath M. , Adhikary K. , Ahamed M.T. , Devnath H.S. , Islam M.M.
Published: April 2023

Gynura procumbens leaves are used as an anti-diabetic medicinal plant in Southeast Asia.
A 28-day feeding trial was conducted to evaluate the effects of Gynura procumbens (GP)
leaf meal on growth performance, glucose level, lipid profile and mineral content in
alloxan-induced diabetic mice. A total of thirty-six mice at 14 days old were assigned to
four treatment groups: NC (Normal Control), T0 = Control (Basal diet), T1 = (Basal diet +
0.5% Dry leaf on DM basis), T2 = (Basal diet + 1.0% Dry leaf on DM basis) having three
replications consisting of nine mice in each in a completely randomized design. The
results showed that glucose level was significantly (P<0.01) reduced during the last 3
weeks compared to control of alloxan-induced mice. Three weeks of dietary
supplementation of GP leaf at 0.5% and 1.0% levels significantly (P<0.05) increased body
weight during the second and the third week whereas decreased, feed intake and water
intake of alloxan-induced diabetic mice. A significant reduction of cholesterol,
triglycerides (TG), low density lipoproteins (LDL) while increased high density
lipoproteins (HDL) of induced mice compared to control (P<0.001). There were no
significant variations in blood phosphorus, Ca and total protein. Moreover, in the
proximate CHO, crude protein, crude fat increased while ash, moisture, crude fibre
decreased in treatment groups compared to the basal diet. Overall, GP leaf showed
trustworthy results on anti-diabetic effects included lipid profile.
Effects of sodium chloroacetate concentration on the physicochemical properties
of carboxymethyl tapioca
Authors: Polnaya F.J. , Simanjuntak L.A.F. , Tuhumury H.C.D.
Published: April 2023

The role of reaction variables on the carboxymethylation of commercial tapioca was
investigated using a statistically experimental design approach. The reaction was carried
out in an isopropanol-water mixture at 25°C for 1 hr. The influence of the etherification
reaction parameter on the degree of substitution (DS), moisture content, ash content,
syneresis, swelling power, and solubility was determined to be the best concentration of
sodium chloroacetate based on the effect on carboxymethyl tapiocas. Using FT-IR
techniques allowed us to evaluate the changes in modified starch when compared to native
starch. The results showed that the treatment of sodium chloroacetate concentration
caused a shift in chemical properties where the values of DS (0.18-0.38), moisture content
(6.65-12.96%), and ash content (0.82-1.54%) were higher than native tapioca. The
syneresis of carboxymethyl tapioca (80.33-84.16%) was lower than that of native tapioca
(87.91%). The new bands in Fourier transform infrared at 1597-1604 cm-1
and 1450 cm-1
indicated that the starch granules were substituted. The concentration of sodium
chloroacetate caused an increase in the swelling power of carboxymethyl tapioca (0.19-
2.45 g/g) and an increase in solubility (58.91-74.44%). The best concentration of sodium
chloroacetate was 20%, which produced carboxymethyl tapioca with a DS of 0.38; a
moisture content of 6.65%; an ash content of 1.17%; a syneresis of 80.33%; a swelling
power of 2.45 g/g; and a solubility of 74.44%. The correlation analysis showed that very
close relationship (R2
> 0.8). Generally, carboxymethyl tapioca has changed its chemical
and physical properties.
Efficacy of soy biopeptide on serum iron, serum ferritin and hemoglobin levels
of adolescent girls in Pandeglang district in Indonesia
Authors: Laily N. , Aji G.k. , Sukarti I. , Susanti I. , Illaningtyas F. , Pranamuda H.
Published: April 2023

Soy hydrolysate contains biopeptides that can increase the absorption of iron. The study
aimed to analyze the efficacy of a Soy-biopeptide in improving serum iron, serum ferritin
and hemoglobin among female adolescents. For the product’s efficacy study, a one-group
pre-test—post-test design was conducted. The products were given every day for 14 days.
The serum iron, serum ferritin and hemoglobin were measured twice prior to
administration and after day 14, for 52 respondents of female adolescent girls who met the
inclusion criteria. The results showed that serum iron levels increased significantly from
(66.87±32.44) mcg/dl to (103.77±55.87) mcg/dl (p = 0.000) in both groups. Meanwhile,
serum ferritin levels increased significantly in the group with serum ferritin levels from
(13.29±9.5) ng/ml to (17.48±12.18) ng/mL (p = 0.00), but there was no significant change
in the group with serum ferritin levels from (28.06±23.7) ng/ml to (29.05±21.3) ng/ml (p
= 0.64).The respondent's hemoglobin level before administration was (12.21±1.29) g/dl
and did not change significantly after administration (12.05±1.31) g/dl (p = 0.016). In
conclusion, soy-biopeptide has the health benefits of increasing serum iron and serum
ferritin levels in respondents with low iron intake and can maintain normal hemoglobin
levels.
Potency of pluchea (Pluchea indica Less) leaves to increase functional value of
wet noodles: a review
Authors: Widyawati P.S. , Darmoatmodjo L.M.Y.D. , Wibisono D.A.S. , Putra E.W. , Dharma A.W.
Published: April 2023

Wet noodles lack functional nutrients that are beneficial for health, thus it is necessary to
add other food ingredients that can increase the functional value of wet noodles. One of
the food ingredients that can be added in wet noodles formulation is Pluchea indica Less
leaves, which have been known as a source of antioxidants and used by the community as
a traditional medicine to treat various health problems. The use of Pluchea indica Less
leaves in making wet noodles is expected to increase the functional value of wet noodles.
For this reason, this review paper discussed the potency of Pluchea indica Less leaves in
affecting the phytochemical compounds content and functional properties of wet noodles.
The use of Pluchea indica Less leaves showed potential to increase the phytochemical
compounds contents of wet noodles, such as alkaloids, flavonoids, phenolics, saponins,
tannins, and cardiac glycosides, which play an important role in the health of human body
and maintaining the quality of wet noodles, such as antioxidant, anti-warmed over flavor,
anti-inflammatory, antidiabetic, and antimicrobial activities. Thus, the addition of pluchea
leaves has potential to increase the functional value of wet noodles including the
phytochemical content and functional properties.
Galangal and ginger essential oils exerted microbial growth inhibitory activity
and preservation potential on tofu
Authors: Hamad A. , Djalil A.D. , Hartanti D.
Published: April 2023

Galangal and ginger are commonly used as spices. Interestingly, their antimicrobial
activity has been reported against a wide array of microorganisms. This study aimed to
evaluate the effects of essential oils of galangal and ginger on the microbial growth,
physical characters, and preservation potential on tofu during 8-day storage at room
temperature. The essential oils were prepared by steam-and-water distillation method, and
their constituents were analyzed by Gas Chromatography-Mass Spectroscopy (GC-MS).
The microbial growth on the tofu was evaluated by the indirect enumeration method. The
physical characters of tofu were organoleptically observed. The preservation potentials
were calculated based on the changes in tofu physical characters relative to the negative
control. The main constituents of galangal essential oil were 1,8-cineole, β-farnesene, and
α-pinene, while those of ginger were geranyl acetate, 1,8-cineole, and camphene. Galangal
essential oil significantly inhibited microbial growth, maintained the texture of tofu until
day eight, and exerted preservation potential for four days. The same preservation effect
was shown by ginger essential oil at 6.26 mg/mL, however it generated a weaker
microbial growth inhibitory activity and resulted in the unfavorable texture on tofu.
Hence, galangal essential oil is a suitable candidate to be developed into a natural food
preservative.
Research on the Connotation, Characteristics, and Promotion Path of Teacher Leadership in Higher Vocational Colleges
Authors: Qin Nana
Published: April 2023

In vocational education, teacher leadership is an important factor in promoting school development and improving teaching quality. Enhancing teacher leadership has practical significance for the connotative development of vocational colleges. It involves improving education and teaching quality, cultivating high-skilled talents, building excellent teaching teams, enhancing school governance systems, and other areas. The core elements include professional knowledge, teaching innovation, teamwork, and communication skills. The enhancement of teacher leadership can effectively enhance teachers’ enthusiasm to participate in educational and teaching reforms as well as promote the overall efficiency of vocational colleges. In order to enhance teacher leadership in vocational colleges, it is necessary to achieve a breakthrough in institutional barriers, combine personal and external factors, strengthen institutionalized teacher leadership construction through a top-down design, and strengthen evaluation and feedback mechanisms to establish a scientific leadership evaluation system and improve teacher leadership cognition.
Analisis Penggunaan Baterai Lead Acid dan Lithium Ion dengan Sumber Solar Panel
Authors: PAMBUDI WAHYU SETYO , FIRMANSYAH RIZA AGUNG , SUHETA TITIEK , WICAKSONO NUR KUKUH
Published: April 2023

ABSTRAKBaterai merupakan bagian penting dari sistem PLTS off-grid. Kendala yang sering terjadi pada baterai adalah siklus yang pendek dan rugi-rugi karena pengaruh internal resistance sehingga tidak optimal pada saat charging atau discharging. Pada penelitian ini dilakukan pengujian untuk membandingkan karakteristik jenis baterai Lead-Acid 12 Ah dan baterai Lithium-Ion 12 Ah pada sistem Off-Grid panel surya 120 Wp. Pengujian charging maksimal 5 jam, discharging dengan beban adjustable resistor 12 Ohm dengan maksimal pengujian 12 jam (Cut Off). Metode yang digunakan adalah modified Coulomb Counting, dan Pendekatan SoC dengan Simulasi Constant Current. Berdasarkan hasil penelitian, untuk menjaga siklus hidup baterai, waktu terbaik untuk mencegah deep discharge, SoC baterai Lead Acid 57,833% dan Lithium-Ion 42,839%. Charging baterai Lead Acid memiliki Constant Voltage 13,1 V dan baterai Lithium Ion memiliki Constant Current 2,4 A, saat discharging.Kata kunci: Lead Acid, Lithium Ion, modified Coulomb Counting, SoC. ABSTRACTBatteries are an important part of the off-grid PLTS system. Constraints that often occur in batteries are short cycles and losses due to the influence of internal resistance so it is not optimal when charging or discharging. In this study, a test was conducted to compare the characteristics of a 12 Ah Lead-Acid battery and a 12 Ah Lithium-Ion battery in a 120 Wp off-grid solar panel system. Maximum charging test of 5 hours, Discharging with a 12 Ohm adjustable resistor load with a maximum of 12 hours of testing (Cut Off). The method used is modified Coulomb Counting and SoC Approach with Constant Current Simulation. Based on the research results, to maintain the life cycle of the battery, the best time to prevent deep discharge, SoC is 57.833% Lead-Acid battery and 42.839% Lithium-Ion battery. Charging Lead Acid batteries has a Constant Voltage of 13.1 V and Lithium on batteries have a Constant Current of 2.4 A when discharging.Keywords: Lead Acid, Lithium Ion, modified Coulomb Counting, SoC.
Desain Antena Reflektor Parabola untuk Aplikasi Radar Maritim dengan Rekayasa Feed Horn
Authors: SANDI EFRI , DIAMAH AODAH , SANTOSO ARDI IMAM
Published: April 2023

ABSTRAKPada studi ini dilakukan analisis penambahan batang metal berbentuk persegi di dalam feed horn piramida antena reflektor parabola untuk meningkatkan performansi gain, beamwidth dan side lobe level. Kebutuhan utama antena radar maritim adalah memiliki gain yang besar ≥ 27 dB, beamwidth kecil ≤ 2o, dan side lobe level yang rendah ≤ -30 dB. Oleh karena itu, perlu diajukan teknik desain antena parabola dengan penambahan batang metal berbentuk persegi di dalam feed horn piramida untuk meningkatkan performasi gain, beamwidth dan side lobe level. Hasilnya dapat meningkatkan gain antena reflektor parabola menjadi 36,9 dB, memperkecil beamwidth menjadi 1,9o dan menekan side lobe level menjadi 31,4 dB. Hasil studi ini mengkonfirmasi bahwa teknik desain dengan menambahkan batang metal persegi di dalam feed horn piramida antena reflektor parabola dapat meningkatkan performasi gain, beamwidth dan side lobe level lebih baik dibandingkan desain tanpa penambahan batang metal persegi.Kata kunci: antena parabola, feed horn piramida, antena radar maritim, gain ABSTRACTIn this study, an analysis of the addition of square-shaped metal rods was carried out in the pyramid feed horn of a parabolic reflector antenna to increase gain, beamwidth and side lobe level performance. The main requirement for a maritime radar antenna is to have a large gain ≥ 27 dB, a small beamwidth of ≤ 2o, and a low side lobe level of ≤ -30 dB. Therefore, it is necessary to propose a parabolic antenna design technique with the addition of a rectangular metal rod inside the pyramidal feed horn to improve gain, beamwidth and side lobe level performance. The result can increase the gain of the parabolic reflector antenna to 36.9 dB, reduce the beamwidth to 1.9o and suppress the side lobe level to 31.4 dB. The results of this study confirm that the design technique by adding a square metal rod in the pyramid feed horn of a parabolic reflector antenna can improve gain, beamwidth and side lobe level performance better than the design without the addition of square metal rods.Keywords: parabolic antenna, pyramid feed horn, maritime radar antenna, gain
The Contingencies Associated with Certification and Licensure
Authors: Linnehan Anna , Weiss Mary Jane , Zane Thomas
Published: April 2023

The science of behavior began in the laboratory setting, focusing on the direct measurement of behavior-environment relations. The field of applied behavior analysis (ABA) is relatively new with the first publications in the flagship journal, The Journal of Applied Behavior Analysis, appearing in 1968. Soon the application of the science was applied to the treatment of autism and, due to its tremendous success, the number of professionals claiming to use behavioral procedures increased exponentially. It became obvious that some sort of systemic oversight needed to be created to protect both consumers and practitioners, and difficult questions had to be raised concerning licensure, certification, which was more advantageous to pursue, and with what consequences. The purpose of this paper is to explore the historical roots of behavior analysis and provide commentary and context to the movement of certification up to the current day. Current challenges within the field of ABA will also be reviewed, along with recommendations to ensure that ABA-based intervention in the future is high in quality.
Have Women gained Access to Land in Cuba? Gender, Agrarian Reform and Re-Peasantisation, 1959-2018
Authors: Botella-Rodríguez Elisa
Published: April 2023

Cuba represents a paradigmatic case where the peasantry is not an anachronism. The Cuban peasantry played a key role in the past and returned to the political agenda after the Revolution with special emphasis under the government of Raúl Castro (2008-18). However, the role of peasant women has not been significantly explored with a long-term vision that links post-revolutionary achievements from a gender perspective with the agrarian reform process initiated in 1959 and continuing today. Through secondary sources and a historical review of Cuba’s agrarian reform process, this article attempts to answer –from a qualitative perspective– the following questions: What role have women played in the celebrated process of agrarian reform and re-peasantisation in the past and present, and what are the real opportunities for peasant or landless women through the new Decree-Laws from 2008 to 2018?
Muhammed Abdurrahîm en-Nehâvendî’nin Nefehâtu’r-Rahmân Fî Tefsîri’l-Kurân Adlı Eserinde Tefsir Usûlünün Temel Konularına Yaklaşımı
Authors: KURBAN Nur Ahmet
Published: April 2023

Başlangıcından günümüze kadar tefsir tarihi bilginlerin çok farklı bakış açılarına tanıklık etmiştir. Bu çerçevede yapılan yorumlar soncunda çok geniş bir literatür oluşmuştur. Bunların başında Sünnî ve Şiî ekolleri gelir. Her iki ekolün temel referansları Kur’an ve Hz. Peygamberin sünnetleri olmakla birlikte tevessül ettikleri yorum metotlarının farklı olması nedeniyle elde ettikleri ürünler de farklılık arz ettiği bir gerçektir. Bu iki ekol bazen birbirine zıt kutuplarda varlık gösterirken, bazen de ılım Şî‘î düşünülerin çabalarıyla aradaki farkı en düşük seviyeye indirilmeye çalışılmıştır. Biz bu çalışmada geçtiğimiz yüzyılın başlarında yaşamış Şî‘î müfessirlerinden Muhammed Abdurrahîm en-Nehâvendî’nin Nefehâtu’r-Rahmân fî Tefisri’l-Kur’ân adlı eserini tefsir usulü ve Kur’ân ilimlerinin bazı temel konuları açısından araştırmaya çalıştık. İlk olarak müellifin tefsir ve te’vil kavramını nasıl bir çerçeveye oturttuğunu anlamaya çalıştık. Tabii ki tefsir ve te’vil kavramlarının bir uzantısı olarak zâhir ve bâtın kavramları gelir gelmektedir. Şî‘î yorum geleneğin beslendiği ana damarın bâtınîlik olduğunu biliyoruz. Diğer yandan bazı Şî‘î akımların Kur’ân’ın eksik olduğunu ileri süren iddiaları vardır. Burada Nehâvendî’nin söz konusu yaklaşıma karşı duruşunu tespit etmeye çalışacağız. Kur’ân’ın tedvin aşamasında olup bitenler aslında Şia’nın Kur’ân algısını anlamamıza yardımcı olacak süreçtir. Daha sonra Kur’ân’ın i‘câzı, muhkem-müteşabih, nesh, huruf-u mukattalar ve Kur’ân’ın kıraati gibi konular ile tefsir usulünün temel konularıyla araştırmamızı sınırlandırmış olacağız.
Bir Müfessir Olarak İbn Receb El-Hanbelî Ve Ona İsnad Edilen Ravâiu’t-Tefsîr İsimli Eserin Ulûmü’l-Kur’ân Açısından Değerlendirilmesi
Authors: KARABULUT Aziz , PİŞGİN Yasin
Published: April 2023

İbn Receb el-Hanbelî (ö. 795/1393), İslâm dünyasının ve Hanbelî mezhebinin önemli simalarından birisi olarak bilinmektedir. O, hicrî VIII. asırda yaşamış olup özellikle Dımaşk ve Kudüs'te Hanbelî mezhebinin bayraktarlığını yapmıştır. Hadis alanında zamanının otoritesi olarak kabul edilen İbn Receb, İslâmî ilimlerin birçok alanında söz sahibi olan çok yönlü bir ilim adamıdır. O, hadis başta olmak üzere fıkıh, kelâm, usûl ve tarih gibi çeşitli alanlarda eser yazan velûd bir müelliftir.
İbn Receb el-Hanbelî’nin, söz sahibi olduğu ve kalem oynattığı alanlardan birisi de tefsirdir. Onun tefsirle ilgili kaleme aldığı müstakil eserleri birkaç kısa sûrenin açıklandığı küçük risâlelerden ibarettir. O, Kur’ân'daki âyetlerin hepsinin tefsirini de yapmamıştır. Biz onun tefsir konusundaki açıklamalarını ağırlıklı olarak elliye yakın diğer eserlerinde görmekteyiz. Ebû Muaz Târık b. Ivazillâh b. Muhammed tarafından İbn Receb’in elliye yakın eserinden tefsire dair açıklamaları bir araya getirilerek Ravâiu't-tefsîr el-Câmi' li't-Tefsîri'l- İmam İbn Receb el-Hanbelî isimli bir tefsir oluşturulmuştur. İbn Receb’in söz konusu tefsircilik yönü ve tefsiri gerektiği kadar akademik çalışmalara konu olmamış ve özellikle ülkemizde müfessirin bu yönleri gün yüzüne çıkarılmamıştır. Bu nedenle çalışmamızda kısaca İbn Receb’in hayatı, ilmî kişiliği ve tefsire dair görüşlerinin derlendiği Ravâiu’t-tefsîr isimli eserin tanıtımına yer verilerek, Ravâiu’t-tefsîr’in genel karakteristik özelliklerinin ortaya konulması hedeflenmektedir. Ayrıca müfessirin tefsircilik yönünü ortaya koyabilmek için onun Kur’ân ilimlerine olan yaklaşımı ve tefsir metodu da ele alınacaktır. Böylelikle elde edilen bulgulardan hareketle Ravâiu't-tefsîr’de Kur’ân ilimlerinin işleniş tarzı ve eserin tefsir tarihindeki yeri ve önemi ortaya çıkarılmaya çalışılacaktır. Böylece İbn Receb el-Hanbelî’nin tefsir alanındaki bilinmeyen yönleri ortaya çıkmış olacaktır.
Investigation of sleep quality and musculoskeletal pain of university students during the pandemic period
Authors: Demirdel Ertuğrul , Ceylan Ali , Koçak Hüsamettin , Güler Mehmet Akif , Türker Tahsin Can , Demirdel Senem
Published: April 2023

Background/Aim: The transition to distance education due to the coronavirus-19 restrictions changed the routines of university students, and physical activity and sleep status were affected due to increased computer screen use. Determining the factors affecting the sleep quality and musculoskeletal pain of university students during the pandemic period will guide the measures that can be taken to address these changes. The aim of this study was to investigate sleep quality and musculoskeletal pain of university students during the pandemic. Our research asked, “What are the factors affecting sleep quality during the pandemic period and does a difference between the musculoskeletal pain of those with good and bad sleep quality exist?”

Methods: University students receiving distance education were included in this cross-sectional study. Students’ demographic characteristics, exercise habits, daily use of smart mobile devices were questioned via an online form. The Pittsburgh Sleep Quality Index was used to evaluate sleep quality, and the Cornell Musculoskeletal Discomfort Questionnaire was used to evaluate musculoskeletal pain. Sleep quality status based on regular exercise and daily mobile device usage time were compared. In addition, the musculoskeletal discomforts of the participants with good or bad sleep quality were compared.

Results: Two-hundred twenty-one university students were included in the study (187 female, 34 male). Sleep quality was better in those who exercised regularly (P=0.005). Subjective sleep quality and sleep latency scores were better for those who used smart mobile devices less than 5 h a day (P=0.002 and P=0.018, respectively). Those with good sleep quality had less musculoskeletal discomfort (P<0.001).

Conclusion: The findings of our study showed that increased physical inactivity and smart mobile device use during the distance education period negatively affect sleep quality. Since those with poor sleep quality have more musculoskeletal pain, we think that preventive measures, such as reducing screen time and inactivity, should be taken in distance education students to prevent health problems that may be associated with poor sleep status.
The effect of minimal and high flow anesthesia on optic nerve sheath diameter in laparotomic gynecological surgery
Authors: Onur Anıl , Onur Tuğba , Karaca Ümran , Sayan H Erkan , Yılmaz Canan , Kılıçarslan Nermin
Published: April 2023

Background/Aim: Optic nerve sheath diameter (ONSD) is a surrogate parameter for intracranial pressure. This study evaluated the effect of anesthetics on ONSD in women undergoing surgery. We aimed to measure the effect of minimal and high flow anesthesia techniques on expiratory/inspiratory oxygen and carbon dioxide fraction values, hemodynamic parameters, and the optic nerve sheath diameter by ultrasonography in open gynecological surgeries.

Methods: In the present prospective cohort study, 80 patients who planned laparotomic gynecological surgery were divided into two groups: a high flow of 2 L/min and a minimum flow of 0.5 L/min. Anesthesia was maintained with 50% oxygen-50% air at 2 L/min and desflurane at 1.1 MAC in Group 1 (n=40) and 50% oxygen-50% air at 0.5 L/min and desflurane at 1.1 MAC in Group 2 (n=40). After 10–15 min, group 2 was administered minimal flow with 50–60% oxygen and 40–50% air at 0.5 L/min desflurane, and 10 min before the end of the surgery, the patients were switched to high flow with 50% oxygen-50% air at 2 L/min.

Results: Decreasing heart rates were higher in Group 2 (T0 P=0.001, T2 P=0.007, T3 P=0.035). There was a significant positive correlation between EtCO2 at the 60th min and optic nerve sheath diameter measurements in the minimal flow group (left ONSD r=0.440, P=0.004, right ONSD r=0.473, P=0.002). Although inspiratory oxygen values in Group 2 did not fall below 32%, it was lower than Group 1 except for the last measurement time.

Conclusion: Minimal flow anesthesia is as safe as high flow in terms of effects on optic nerve sheath diameter and oxygenation parameters in laparotomic gynecological surgery.