bluuebunny/crossref_metadata_2025 huggingface dataset:
Long Oligodeoxynucleotides: Chemical Synthesis, Isolation via Catching by Polymerization, Verification via Sequencing, and Gene Synthesis and Expression Demonstration
Authors: Yin Yipeng , Arneson Reed , Apostle Alexander , Eriyagama Adikari , Chillar Komal , Burke Emma , Jahfetson Martina , Yuan Yinan , Fang Shiyue
Published: October 2023

Long oligodeoxynucleotides (ODNs) are segments of DNAs having over one hundred nucleotides (nt). They are typically assembled using enzymatic methods such as PCR and ligation from shorter 20 to 60 nt ODNs produced by automated de novo chemical synthesis. While these methods have made many projects in areas such as synthetic biology and protein engineering possible, they have various drawbacks. For example, they cannot produce genes and genomes with long repeats and have difficulty to produce sequences containing stable secondary structures. Here we report direct de novo chemical synthesis of 400 nt ODNs, and their isolation from complex reaction mixture using the catching-by-polymerization (CBP) method. To determine the authenticity of the ODNs, 399 and 401 nt ODNs were synthesized and purified with CBP. The two were joined together using Gibson assembly to give the 800 nt green fluorescent protein (GFP) gene construct. The sequence of the construct was verified via Sanger sequencing. To demonstrate the potential use of the long ODN synthesis method, the GFP gene was expressed in E. coli. The long ODN synthesis and isolation method presented here provides a pathway to the production of genes and genomes containing long repeats or stable secondary structures that cannot be produced or are highly challenging to produce using existing technologies.
FRET-sensing of receptor binding at the interface of targeted biomimetic microparticles functionalized with tunable fluorescent lipids
Authors: Michelis Sophie , Pompili Chiara , Niedergang Florence , Fattaccioli Jacques , Dumat Blaise , Mallet Jean-Maurice
Published: October 2023

Cell adhesion is a fundamental phenomenon for cell communication and regulation. Adhesion sites are triggered by the binding of single ligand-receptor pairs that will initiate the formation of clusters of receptors. To study cell adhesion in live cells with microscopy techniques, there is a need of fluorescent particles targeted towards membrane receptors with a signal sensitive to the binding and movement of receptors and ligands at the interface. We propose new biomimetic fluorescent lipid microparticles for membrane receptor targeting and sensing. The particles are functionalized with tailor-made fluorescent lipids targeted towards lectins or biotin membrane receptor and can be specifically recognized and internalized by cells as evidenced by their phagocytosis in primary murine bone-marrow derived macrophages. By using a FRET pair of fluorescent mannolipids, it was possible to detect the presence of concanavalin A in solution by energy transfer showing that the particles can sense receptor binding at the interface and the associated movement of the ligands at the site of adhesion. Our results demonstrate that this biosensing platform can be specifically internalized by phagocytes, effectively mimicking a bacteria, and reveal short-range interactions of surface receptors via FRET.
Lattice-guided assembly of optoelectronically-active π-conjugated peptides on 1D van der Waals single crystals
Authors: Yao Ze-Fan , Cordova Dmitri Leo , Milligan Griffin , Lopez Diana , Allison Steven , Kuang Yuyao , Ardona Herdeline , Arguilla Maxx
Published: October 2023

The utility of organic functional units for high-performance materials and devices is highly dependent on the formation of ordered domains across extended regimes. As such, the development of synthetic approaches to achieve precisely ordered material building blocks, a process often complicated by the dynamic and sensitive nature of supramolecular interactions in many organic molecules, is critical in realizing efficient functional devices and emergent physical properties. To this end, we leveraged the long-range anisotropic ordering intrinsic to a class of 1D van der Waals (vdW) crystals comprised of sub-nanometer-thick transition metal trichalcogenide (MCh3; M = Ti, Zr, Hf, Nb, Ta; Ch = S, Se) chain subunits to guide the assembly of supramolecular π-conjugated peptide building blocks. Through this synthetic strategy, we realized morphologically well-defined organic-inorganic heterointerfaces that display drastically altered photophysical properties and are capable of photocurrent generation. Owing to the structural correspondence between the π-π interactions of the organic quaterthiophene (4T)-based π-conjugated peptides (DDD-4T) and the periodic sulfur ordering along the (100) planes of inorganic niobium sulfide (NbS3) 1D vdW crystals, we found that organic π-conjugated peptide monomers can readily form 1D supramolecular assemblies on the surface of the underlying inorganic crystal. Optimal assembly conditions allowed for the controlled deposition and growth of the peptide assemblies on the crystal surfaces as validated by a combination of fluorescence microscopy, photoluminescence map-ping, Raman spectroscopy, atomic force microscopy, and computational molecular dynamics simula-tions. The resulting DDD-4T/NbS3 heterointerfaced assemblies exhibit a significantly improved visi-ble-range photocurrent generation compared to the freestanding π-conjugated peptide films assembled from solution. Altogether, our study demonstrates the important role of lattice matching in the for-mation of ordered low-dimensional organic-inorganic heterointerfaces, offering a new approach to-wards directing the assembly of supramolecular organic building blocks endowed with improved opti-cal and optoelectronic properties.
Quantification of inhomogeneous local proton density distributions in soft matter, unstructured macromolecules and non-Anfinsen biomacromolecules
Authors: Kuzin Sergei , Stolba Dario , Wu Xiaowen , Syryamina Victoria , Boulos Samy , Jeschke Gunnar , Nyström Laura , Yulikov Maxim
Published: October 2023

A new method to quantitatively analyse inhomogeneous distributions of local proton densities around paramagnetic centers in unstructured bio-polymers, disordered biomolecules and soft matter is introduced, and its feasibility is demonstrated on aqueous solutions of stochastically spin-labeled polysaccharides. The technique is based on a dipolar EPR pulse sequence ih-RIDME (intermolecular hyperfine relaxation-induced dipolar modulation enhancement). The global analysis of a series of RIDME traces offers a mathematically stable transformation of the time-domain data to the proton density distribution. Novel pulse EPR sequences are proposed and primarily tested, which combine the ih-RIDME block and the double-electron-electron resonance (DEER) experiment. These new pulse sequences can be potentially used to correlate the local proton distributions with the overall macromolecule chain conformational distribution.
Determinants of cytoplasmic microtubule depolymerization during ciliogenesis inChlamydomonas
Authors: Dougherty Larissa L , Avasthi Prachee
Published: October 2023

At the core of cilia are microtubules which establish length and assist ciliary assembly and disassembly; however, microtubules outside of the cilium can regulate ciliogenesis. The microtubule cytoskeleton polymerizes and depolymerizes rapidly. These processes have been studied across various organisms with chemical and genetic perturbations. However, these have generated conflicting data in terms of the role of cytoplasmic microtubules (CytoMTs) and free tubulin dynamics during ciliogenesis. Here, we look at the relationship between ciliogenesis and CytoMT dynamics inChlamydomonas reinhardtiiusing chemical and mechanical perturbations. We find that not only can stabilized CytoMTs allow for normal ciliary assembly, but high calcium concentrations and low pH-induced deciliation cause CytoMTs to depolymerize separately from ciliary shedding. In addition, ciliary shedding through mechanical shearing allows cilia to regenerate earlier despite intact CytoMTs. Our data suggest that CytoMTs are not a sink for a limiting pool of cytoplasmic tubulin inChlamydomonas, depolymerization after deciliation is a consequence rather than a requirement for ciliogenesis, and intact tubulin in the cytoplasm and proximal cilium support more efficient ciliary assembly.
The optimization of oil extraction by surfactant-assisted aqueous extraction
process of rice bran (Oryza sativa L.) using Box-Behnken design
Authors: Hasanah Y.M. , Raharjo S. , Pranoto Y. , Ningrum A.
Published: October 2023

Surfactant-assisted aqueous extraction process (SAAEP) is used as an environmentally
friendly alternative method for oil extraction. Rice (Oryza sativa L.) is one of the most
widely produced and consumed foods, and it produces bran as a by-product. Therefore,
this study aims to determine the optimum conditions for SAAEP from rice bran. The
response surface methodology (RSM) technique was used to determine the optimum
conditions. Furthermore, the Box-Behnken design (BBD) was selected as the study design
with three factors and three levels. The independent variables used were surfactant and oil
ratio (SOR) (3, 3.5, and 4), ultrasonication amplitude (60%, 70%, and 80%), and
ultrasonication contact time (15, 20, and 25 mins. Meanwhile, the dependent variable used
was oil content. The extraction was carried out based on SAEEP. Also, the rice bran used
was the IR 32 SR variety which passed the stabilization stage with a moisture content of
4.25%, extracted oil of 20.64%, and 2.04 meqO2/kg FFA levels. The optimal point was
predicted to produce an extracted oil of 19.326%. Furthermore, the prediction results were
evaluated by experimental extraction at the optimal level. The results showed an extracted
oil of 18.52±0.04%, which is a difference of about 0.81% from the predicted values. It
was concluded that the rice bran oil content can be successfully optimized using the RSM
technique. Therefore, the optimum conditions for extracting rice bran oil are within the
specified range of factors
Memory Loss in the Early Stages of Alzheimer's Disease
Authors:   , O'Sullivan Maria Teresa
Published: October 2023

The purpose of the study was to examine any semantic memory deficit in the early stages of Alzheimer's disease (AD) and further define the nature of any deficit found. In experiment one, 30 participants with AD and 30 age, gender and education-matched control participants completed a series of semantic memory tasks, an independent test of frontal lobe functioning (tower of Hanoi), a global screening measure, and measures of anxiety and depression. Participants with AD were in the early stages of the disease and divided into minimal and mild subgroups. In addition a further amnesic subgroup showed relatively intact global scores alongside impaired semantic memory task performance. Significant between-group effects were observed across the range of semantic memory tasks. In addition, dissociations were found between tower of Hanoi performance and performance on semantic memory tasks. These findings lend support to the view that semantic memory difficulties are due to underlying damage to the structure of semantic memory, rather than resulting from an access or organisational problem. The performance of the amnesic group raises the possibility that semantic memory loss may represent a preclinical stage of the disease process in AD.

In experiment two, eight participants with probable AD and eight age, gender and educationmatched control participants took part. The effects of imageability and age of acquisition (AoA) were examined along with attribute knowledge of animals and objects. Results showed that imageability made a strong contribution to semantic associations while the effect of AoA was small, but significant. Imageability, thought to produce stronger activation, may assist in recall of semantic memory items, while the somewhat meagre AoA effect raises questions concerning the temporal gradient of memory loss thought to occur in AD. Attribute knowledge was characterised by loss of subordinate knowledge alongside naming ability which was only minimally affected. Overall results suggest a loss of associations in semantic memory in the early stages of AD, along with a loss of subordinate knowledge and a strengthening of easily accessed responses. No differences were found between living and nonliving items, however knowledge of functional use of objects appeared comparatively well preserved.
China’s youth unemployment problem has become a crisis we can no longer ignore
Authors: Yao Christian
Published: October 2023

Youth unemployment is a global problem, but in China the rate - <a href="https://www.visualcapitalist.com/youth-unemployment-in-oecd-and-china/#:~:text=Listed below is the youth,the second quarter of 2023.&text=Announced in June, China's youth,when it was below 10%." target="_blank">21.3% - is particularly alarming, not just because it’s high, but because it could affect other economies and geopolitical relations.

The release of the rate, which more than doubled the pre-COVID rate of May 2018, coincided with China’s National Bureau of Statistics announcing it would no longer report age specific data because it needed to “improve and optimise labour force survey statistics”.

Youth unemployment is a complex issue, but even more so in China as a result of government policy and society’s expectations.
The Recognition of International Commercial Arbitration as a Transnational Legal Order Defined by the Rule of Law
Authors:   , Kawharu Amokura
Published: October 2023

The thesis is concerned with advancing a theory of international commercial arbitration (ICA). It conceives of ICA as a transnational legal order, comprised of its internal law of procedure. ICA needs to be explained through its inherent procedural attributes because, as a system offering transnational justice, it should be able to be understood in normative terms that relate to its dispute resolution function. In contrast, existing literature focusses on the relationship between ICA and national law and the role of consent.

Adjudication involves a decision-maker having the authority to impose its decision on disputing parties to resolve their legal claims. Another perspective emphasises the role of the parties in presenting reasoned arguments. Under either view, the inherent procedural characteristics of adjudication comprise three core principles derived from the rule of law: the impartiality and independence of arbitrators, the right of each party to be heard, and their right to a reasoned decision. These rule of law-derived ‘principles for just adjudication’ apply to ICA because it is a process of adjudication. Furthermore, a choice by parties of ICA should be viewed as a positive choice of an adjudication procedure that is governed by these rule of law principles.

The rule of law is concerned with the role of law in managing and legitimising the exercise of authority within legal systems. For this reason, analysing ICA in terms of a transnational legal order helps to underpin its claim to legitimate authority through the rule of law. It is possible to regard consent and the principles for just adjudication as key elements of a transnational legal order of ICA, either as norms establishing legality, or for the purpose of identifying the members of the system’s officials, or social group or subjects, or both. In these respects, the rule of law may have a fundamental role in the recognition of the legal order and in creating the theatre in which it may operate.
Chemical Genetic Analysis of Echinochrome A Isolated from Evechinus chloroticus (Sea Urchin, Kina) in New Zealand
Authors:   , Hammond Joseph
Published: October 2023

Using unbiased genome-wide proteomic and genomic analyses available to Saccharomyces cerevisiae, this thesis aims to provide further insight into the mode of action of Echinochrome A (Ech A) extracted from the shells of New Zealand kina (Evechinus chloroticus). Abundance was measured for 4,100 proteins every 30 minutes for four hours using fluorescent microscopy, which resulted in the identification of 92 proteins with significant alterations in protein abundance caused by Ech A treatment that were overrepresented with specific changes in DNA replication, repair and RNA binding at 30 minutes,followed by metabolism of metal ions (specifically iron and copper) from 60-240 minutes. Further analysis indicated that Ech A chelated iron, and that iron supplementation negated the growth inhibition caused by Ech A. Likewise, copper supplementation negated the growth inhibition caused by Ech A. Via a genome-wide analysis of 4,800 gene deletion strains that measured sensitivity of growth of these deletion strains, it was identified that 20 gene deletion strains were sensitive to Ech A and these genes were over-represented in the cellular response to oxidative stress. To directly evaluate the potential antioxidant properties of Ech A suggested by the proteomic and genomic analyses, yeast growth was measured in the presence and absence of oxidative stress induced by hydrogen peroxide, whereby Ech A suppressed growth inhibition caused by the oxidative stress. Building off publications investigating Ech A in mammalian models, there were a number of mitochondrial gene deletions with significantly
Research on Weighing System and Debugging Technology for Batching Under Blast Furnace Ore Tank
Authors: Ji Huafeng
Published: October 2023

The article introduces the composition and working principle of the batching and weighing system underneath the blast furnace hearth. Besides, the shortcomings of the batching and weighing system during installation, debugging, and calibration, as well as the dynamic errors in the batching process are also analyzed. Corresponding solutions are then provided.
KEGIATAN PENGEMBANGAN APLIKASI TEPAT GUNA UNTUK MENDUKUNG PELAPORAN DAN ANALISIS IRREGULARITY REL DI PT KAI
Authors: Nugraha Ade Chandra , Jumiyani Rahil , Sundari Santi , Suprihanto Suprihanto , Pribadi Didik Suwito
Published: October 2023

Pemeriksaan kondisi jalan rel oleh PT Kereta Api Indonesia (PT KAI) saat ini sudah menggunakan Kereta Ukur EM120 yang didukung oleh aplikasi komputer yang mengendalikan banyak sensor data dengan tingkat kepresisian yang tinggi. Hal ini diterapkan karena kerusakan geometry track akan terukur dalam satuan milimeter. Sistem yang telah ditanam pada kereta ukur EM120 memerlukan perangkat aplikasi yang dapat mengolah hasil pengukuran rel kereta untuk dianalisis maupun dijadikan pendukung pengambilan keputusan. Memperhatikan kebutuhan tersebut, maka dilakukan pengembangan aplikasi berbasis web yang dapat digunakan untuk mengelola data hasil pengukuran kereta ukur EM120 dalam bentuk tabular maupun grafis yang diharapkan dapat menjadi salah satu alternatif dalam melakukan analisis hasil pengukuran geometri track. Aplikasi yang dikembangkan telah mampu membaca hasil pengukuran geometry track dan mengolahnya menjadi track speed profile dengan menggunakan empat parameter geometri, yaitu Angkatan, Pertinggian, Listringan, dan Lebar Sepur. Mengacu pada hasil pengukuran empat parameter tersebut maka akan diperoleh track quality index (TQI) yang berkorelasi dengan batas kecepatan tempuh kereta dalam melintasi track tersebut. Metode pengembangan aplikasi yang digunakan adalah waterfall process model. Luaran PkM adalah teknologi tepat guna berupa perangkat lunak aplikasi yang telah dapat digunakan oleh mitra dalam memantau hasil pengukuran kondisi rel dalam rangka mendukung proses pemeliharaan dan perawatan rel. Kegiatan dan luaran PkM ini diharapkan dapat membantu proses transformasi digital di lingkungan Divisi Prasarana PT KAI.
The Influence of Haiku Composition Tasks on the Development of Academic Writing Skills: A Qualitative Analysis
Authors: Santillán-Iñiguez Juan , Arévalo-Chuquín Miguel , Heras-Urgilés Esteban , Hidalgo-Camacho Cynthia , Orellana-Mora Ximena , Piedra-Carrión Verónica
Published: October 2023

The inclusion of literary texts, particularly poetry, is not a common practice in the language classroom. However, the available empirical evidence, albeit relatively scarce, does suggest that poetry, when correctly employed, is likely to be beneficial for second and foreign language learners. This teaching material has been used to teach and develop areas such as vocabulary acquisition, grammar practice, and even motivation as well as the four macro-skills in language, namely listening, speaking, reading, and writing. The use of poetry in language instruction emphasizes the predominant role of learners in authentic literary production. As such, this research paper focuses on the qualitative aspect of a mixed-methods study about the effects of haiku composition tasks on the development of academic writing skills. The participants of the study were 30 English as a foreign language (EFL) pre service teachers. As part of the data collection process, the participating students were asked to write short argumentative essays at the beginning and at the end of a six-week intervention that promoted the composition of haiku. After the intervention, an open-ended questionnaire was administered to identify and describe the participants’ perceptions regarding how haiku composition influenced their academic writing skills. The results of the study show that the great majority of the participants agreed that haiku composition furthered the development of their academic writing skills and vocabulary acquisition. The findings of the study corroborate the existing experimental findings as to the value of poetry-based tasks for second and foreign language learning. Thus, we conclude that the inclusion of poetry in the language classroom ought to be promoted through activities that, while being personal and meaningful to the students, allow for the development of language proficiency.
Effect of Emotional Intelligence and Personality Traits on the Psychological Well-Being of University Students in Malaysia
Authors: Effandi Kassandra Aiman Rahmat , Bahari Muhammad Idris Bullare , Md Said Hajah Siti Rafidah Haji
Published: October 2023

Psychological distress has been an increasing issue among university students, mainly due to the changes that have taken place brought about by the COVID-19 pandemic. It was found that there needs to be more evidence surrounding the topic of psychological well-being (PWB) among university students in Malaysia. This study has examined the effect of emotional intelligence (EQ) and personality traits on the PWB of university students in Malaysia. A quantitative research method using convenience sampling was used in this study. One hundred fifty-one (151) students from public and private universities in Malaysia participated in the study. The questionnaires were used as data-collecting tools and were distributed in Google Forms. Data were analysed using IBM SPSS version 28.0. Regression analysis showed no significant effect of EQ on the PWB of the students. In disparity, personality traits significantly influenced both PWB and EQ of university students in Malaysia. The findings of this study highlight that certain personality traits contribute considerably to the PWB of university students in Malaysia. Hence, it is suggested that university administrators, university students, and other researchers investigate the role of these personality traits in enhancing PWB and EQ among university students.
The Use of Digital Games by Teacher Educators in Colleges of Education
Authors: Avidov Ungar Orit , Hayak Merav
Published: October 2023

Aim/Purpose: The current research examined the use of digital games in the fully online learning context imposed by lockdowns in response to the COVID-19 pandemic. In particular, we sought to understand the contribution that digital games made to teacher educators and how they used digital games in their remotely delivered courses.

Background: Teacher educators experienced in using digital games in their teaching were interviewed regarding the contribution digital games made to their pedagogy when they were teaching remotely during COVID-19.

Methodology: This qualitative study included 34 participants who taught four-year-degree programs in 13 teacher education colleges in Israel.

Contribution: This study sheds light on a sparsely researched area by examining the contribution of digital games to teacher educators' pedagogy. The study also suggests practical implications for implementing digital games for teacher educators.

Findings: Many participants used digital games. Some used them extensively as an integral component of the curriculum while others used them to break up the lesson and thereby retain their students’ interest and attention. However, a small number reduced their use of digital games citing work overload.

Recommendations for Practitioners: This study suggests that education systems may be able to obtain post-pandemic-related gains to further advance the use of digital games as a pedagogic strategy in teacher education in the future.

Recommendation for Researchers: An additional study using a more representative sample of teacher educators would be very valuable to gauge the roll-on effects of the sudden shift to remote online learning on the use of digital games following the return to face-to-face teaching and learning.

Impact on Society: The findings have implications for how the use of digital games should be addressed in teacher education at teacher colleges.

Future Research: Future research can address possible contributions or challenges that teacher educators face when using digital games, for example, in a hybrid learning environment to enhance engagement and promote active learning.
Post Occupancy Evaluation of Ventilation Coefficient Desired for Thermal Comfort in Educational Facilities
Authors: Mba Emeka J. , Okeke Francis O. , Ezema Emmanuel C. , Oforji Peter I. , Ozigbo Chinelo A.
Published: October 2023

In tropical regions, one sustainable measure identified to attain thermal comfort and energy savings for interior spaces is natural ventilation. However, the ventilation coefficient as a factor for effective passive ventilation required for thermal comfort in educational facilities in warm, humid climates has not been adequately investigated. This study is a post-occupancy evaluation aimed at investigating the ventilation coefficient as a parameter for effective passive ventilation efficiency for good thermal comfort in the classrooms of public primary school buildings in Enugu Metropolis, Nigeria. Among the data collection instruments are two data logging devices (thermo-anemometers -AZ 9871) used to measure air velocity, humidity levels, and temperature outside and inside the classrooms of 60 government primary school buildings in the study area. This selection was based on stratified random sampling techniques. For data analysis, the global ventilation coefficient and linear regression analysis were used. The findings demonstrate that the average natural ventilation efficiency was 80%, which is higher than the global ventilation efficiency standard of 60%. The research results further highlight that colonial classroom prototype buildings have a lower temperature value and ventilation coefficient of 83%, which in turn influenced the thermal comfort conditions of the classrooms investigated. The significance of this study is that the findings contribute to the existing knowledge base that would advance strategic policy formation towards acceleration of the uptake of sustainable and energy-efficient building designs for educational facilities in warm, humid tropical environments. Doi: 10.28991/HEF-2023-04-01-07 Full Text: PDF
ЗАПОБІГАННЯ НАСЛІДКІВ ЕКОЛОГО-ЕНЕРГЕТИЧНОЇ КАТАСТРОФИ В УКРАЇНІ В УМОВАХ ВІЙНИ
Authors: Шабала Олександр , Новосад Оксана
Published: October 2023

Дії агресора у зимовий період 2022-2023 року змусили керівництво країни і енергетичний комплекс загалом задуматись над зміною концепції використання та захисту енергоносіїв та підприємств, які безпосередньо пов’язані з енергетичною інфраструктурою. В результаті наслідків, які мали місце у холодний період, було зруйновано немало об’єктів критичної інфраструктури, однак завдяки сумлінній роботі енергетиків, якісній організації процесу відновлення та швидкої відбудови, більшість громадян нашої країни користувались світлом і надалі, хоча і з невеликими обмеженнями.

Особливу увагу слід звернути на атомні, тепло та гідроелектростанції (АЕС, ТЕС, ГЕС), які в перші дні війни були під загрозою. Удари з боку росії по атомним станціям, могли б спричинити не тільки локальну катастрофу із загибеллю великої кількості людей, алей екологічну глобальну кризу, наслідки якої довелося б «викорінювати» не один рік, а то і десятиліття. Що в результаті і сталося 6 червня поточного (2023 року) на Каховській ГЕС. На превеликий жаль терористичні дії з боку росії можуть призвести не тільки до екологічної катастрофи, але й викликати низку інших негативних реакцій, наприклад виникнення епідемій та епізоотій, що в результаті може відгукнутися трагедією не тільки для нашої країни, алей розповсюдитися на інші території, навіть на територію країни-агресора. Необдуманий вандалізм з боку росії однозначно повинен привернути увагу світової спільноти, і те тільки партнерів України, алей навіть тих, хто до сьогодні підтримує країну-агресора, адже настільки очевидні та безглузді атаки ніяк не впливають на послаблення нашої армії, лише тільки множать смерть і небезпеку серед мирного населення, людей, тварин, руйнування майна, тощо. Очевидно, що сьогодні Україна не може віддавати перевагу, або ставити надавати пріоритету таким питанням як альтернативні джерела енергії, відновлювальна енергетика, але стояти осторонь перспективи в галузі зеленої енергетики теж не варто. Створення відповідних інститутів, нормативно-правової бази, механізмів та інструментів по втіленню в життя проектів та моделей, які дадуть змогу більш швидко та ефективно перейти на зелену енергетику, питання яке залишається актуальним, так як після перемоги, процес відбудови України однозначно буде включати в себе вищеокресленну проблематику. Перспективи розвитку та екологізації за рахунок відновлювальних джерел енергії очевидні, тому питання залишається відкритим, і не дивлячись на військовий стан, наша країна не лишається осторонь європейських цінностей, в які якраз таки входить екологізація.
Phytoplankton diversity as a bioindicator for water quality of siwak bay, Specific Economic Zone (SEZ) Mandalika Central Lombok
Authors: Paryantini Izma , Candri Dining Aidil , Japa Lalu
Published: October 2023

The Mandalika Specific Economic Zone (SEZ) is a potential tourism industry for the province of West Nusa Tenggara, which has recently received very high attention due to the construction of the international MotoGP circuit. The construction of the MotoGP circuit has become an attraction for domestic and foreign tourists and has increased the number of tourists. The increase in tourism activity has negatively impacted the Mandalika SEZ's coastal waters, such as a decrease in water quality, including the water of Siwak Bay. Water quality monitoring can be done by using phytoplankton as a bioindicator. The study of phytoplankton species diversity as a bioindicator of water quality has never been carried out in the Siwak Bay waters. This research was conducted to analyze the status of Siwak Bay waters based on the phytoplankton diversity index. Samplings were carried out based on a purposive sampling method. This research was conducted for three months, from March to June 2023. The study found seven classes, 59 genera, and 127 phytoplankton species. The abundance of phytoplankton in Siwak Bay was 1025,185 ind/L. The highest abundance was the genus of Trichodesmium. The species diversity index was 3,33. Based on the species diversity index, it can be said that the waters of Siwak Bay are not polluted.
RUPTURA DE VESÍCULA BILIAR ASSOCIADA AO TRAUMA ABDOMINAL NO DEPARTAMENTO DE EMERGÊNCIA
Authors: Morais Beatriz Austregésilo De Athayde De Hollanda , litrenta amanda cavalcanti
Published: October 2023

Introdução: A ruptura de vesícula biliar (VB) é considerada rara, ocorrendo em apenas 2% dos casos de pacientes com traumas abdominais e, geralmente, concomitante ao trauma de fígado. O diagnóstico é
Bibliometric Analysis of Sustainability in Civil Aviation
Authors: AYGÜN Salih , SAĞBAŞ Murat , ERDOĞAN Fahri Alp
Published: October 2023

As air travel has become a crucial part of modern life, concerns about its environmental impact, economic sustainability, and social responsibility have significantly grown. Sustainability in this context refers to the delicate balance between current needs and future aspirations, taking into consideration environmental, economic, and social factors. The aviation industry is a substantial contributor to worldwide carbon emissions, and its ongoing growth poses a threat to exacerbate climate change. But it also has a crucial role in promoting economic growth and global connectivity. Achieving a balance between these competing interests necessitates a collaborative approach involving governments, industry stakeholders, academia and the general public. The sustainability viewpoint in the aviation sector, as well as the research carried out in this field, is of great significance in advancing the sector. The objective of this research is to identify and analyze publications regarding sustainability in the aviation sector within the SSCI and SCI-Exp databases. Suggestions for future research are proposed. The study includes a bibliometric analysis of 123 scientific articles published between 2001 and 2023. The findings reveal significant trends, influential authors and leading institutions in aviation sustainability research whilst also identifying gaps in the literature. Keyword analysis revealed recurring themes such as energy efficiency, emissions reduction, and life cycle assessment. These findings highlight the aviation industry's increasing dedication to sustainability and the necessity for further research and practical measures to ensure a more environmentally sustainable future for civil aviation.
Navigating Eutrophication in Aquatic Environments: Understanding Impacts and Unveiling Solutions for Effective Wastewater Management
Authors: Pranta Arnob Dhar , Rahaman Md. Tareque , Ahmed Md. Samin , Arefin Rafi Md. Shamsul
Published: October 2023

Eutrophication is the term used to describe the presence of natural and artificial nutrients like phosphorus and nitrogen in aquatic ecosystems. The water quality in various bodies of water such as ponds, lakes, rivers, etc. is deteriorating as a result of an abundance of plant nutrients in these water sources. Over-enrichment of aquatic ecosystems with nutrients is a major hazard to the well-being of aquatic ecosystems worldwide. In addition, the circulations have lowered the requirements for home and agricultural consumption of water. The main origins of these plant nutrients within aquatic ecosystems stem from the discharges of industries engaged in activities like livestock farming, agriculture, fertilizer production, manufacturing of textiles, and clothing production. Therefore, a variety of methods and approaches have already been developed as safety measures to avoid the negative consequences of water tainted with those undesired minerals. Eutrophication presents many obstacles, but with the right public awareness campaign and global scientific efforts, its negative impacts may be lessened. This research seeks to pinpoint the primary origins of plant nutrients within the aquatic ecosystem and explore potential triggers for eutrophication. Additionally, it proposes innovative regulatory methods and offers suggestions for sustainable wastewater management practices.
Kiai leadership style in developing Bahrul Ulum Islamic Boarding School, Tambakberas, Jombang Indonesia
Authors: Fitri Wahyuni  , Akhyak  , As’aril Muhajir
Published: October 2023

This study aimed to describe and analyze the Kiai leadership model in developing Islamic boarding schools at the Bahrul Ulum Tambakberas Jombang Islamic Boarding School. The leading theory used is the Burn and Bases transformational leadership model, Zaccaro Bader's and Stoner's leadership approach. This research uses a phenomenological approach with a case study type and a multisite design. The phenomenological approach was chosen because researcher attempt to describe and analyze phenomena, events, social activities, attitudes, beliefs, thoughts, and human perceptions individually and in groups with case studies. The researcher hopes to get a complete picture of the leadership case in Islamic boarding schools. The data in this research is about Kiai's leadership in developing Islamic boarding school science. There are two data sources in this research, namely humans and non-humans. To obtain integrated and accurate data, the study uses three techniques: interviews, observation, and documentation. The analysis was carried out in two stages, with analysis of individual sites first using Miles B and Huberman's theory, namely data condensation, data presentation, and conclusion/verification, then a multisite study was carried out. The study's results stated that the Kiai's leadership model in developing Islamic boarding schools' knowledge with the transformational model showed that the Kiai had several capitals, such as intellectual, religious, social, and relational capital.
Classifying User Apps Review for Software Evolution: A Preliminary Experiment
Authors: Rahmi Dewi Mutia , Munawaroh Hidayatul , Rochimah Siti
Published: October 2023

Application Store is a platform where users can download several applications and games. Users also can provide comments about related applications. These comments made as evaluation material for developers, who have not yet developed applications in the future. In previous studies, an application user assessment has been carried out based on existing taxonomies such as feature requests, information provision, information retrieval, and problem discovery by using Natural Language Processing (NLP), Text Analysis (TA) and Sentiment Analysis (SA). In this study, we propose a model using Topic Modelling (TM) and Minority Synthetic Over-Sampling Technique (SMOTE) to improve classification results. Making user reviews that previously ignored can be taken into consideration for developers in conducting software development. Topic modelling will generate list of topics that representing each review and SMOTE method can overcome the amount of imbalanced data on several tables. We also combine methods TA + NLP + SA, TA + NLP + SA + TM, and TA + NLP + SA + TM + SMOTE with J48 classifier....
Tempat Sampah Pintar Berbasis IoT
Authors: Syaljumairi Raemon , Prabowo Cipto , Latiffah Hanum Dwi
Published: October 2023

The behavior of people who often litter is one of the factors that affect environmental cleanliness. For this reason, an innovative tool is needed, namely the Smart Trash Can that is able to manage waste using a water sensor and determine the capacity and distance of the waste object using an ultrasonic sensor and can perform automatic control of the type of waste using a servo output. This Smart Trash can make it easier for users to manage waste on a small scale. How this tool works uses NodeMCU as a microcontroller to retrieve data generated by rain sensors, ultrasonic sensors, and micro servos. Because NodeMCU already has a wifi module, the data is sent to telegram for garbage notification and communication between trash bins.
Pendeteksian Aroma Ganja Kering Menggunakan Algoritma Random Forest
Authors: Azmi Ulul , Hendrick  , Humaira
Published: October 2023

Ganja (Cannabis Sativa) sebagai jenis narkoba terbanyak dikonsumsi dengan persentase sebesar 56,7% dimana penyalahgunaan ganja menimbulkan banyak dampak negatif salah satunya penurunan kerja otak sehingga akan mengalami reaksi halusinasi, ilusi, gangguan berpikir, perubahan perasaan secara tiba – tiba dan menimbulkan efek kecanduan. Tingginya kasus menimbulkan beberapa kendala seperti pengadaan alat yang mahal dalam proses pencarian. Maka dirancanglah sebuah alat E-Nose untuk mendeteksi ganja yang mana sistem ini akan meniru fungsi dari indera penciuman (hidung) pada manusia. Pada penilitian ini akan melakukan pengolahan data ganja yang telah terkumpul untuk menentukan model pendeteksian ganja dengan membandingkan dua buah metode klasifikasi yaitu algoritma Random Forest dan Decision Tree untuk menentukan klasifikasi yang terbaik dalam menghasilkan akurasi pengklasifikasian model untuk mendeteksi ganja. Hasil akurasi model yang diperoleh dari algoritma Random Forest adalah sebesar 100% dimana model yang dihasilkan dapat mengklasifikasikan secara benar sampel ganja kering dan bukan ganja. Pada algoritma Decision Tree menghasilkan akurasi sebanyak 70% secara benar pada ganja kering.
Perancangan Prediksi Produksi Teh Menggunakan Metode Fuzzy Tsukamoto Berbasis Web
Authors: Ilham Rozali , Fryonanda Harfebi
Published: October 2023

Nowadays, technology is also widely applied in various fields with various needs. Innovations will continue to be developed to create even more efficient technologies for various fields. Based on data from. Various sectors, such as education, business, tourism, to the agricultural sector, widely use websites. There are various implementations or applications of technological developments in agriculture, one of which is the application of calculating an agricultural product—tea production in Kaligua in 2018 experienced ups and downs due to less stable weather conditions. Calculations in determining an agricultural product can use several calculation methods, one of which is the Tsukamoto fuzzy method. Tsukamoto's fuzzy method is an extension of monotone reasoning. In Tsukamoto's method, every consequence has a rule in the form of IF-THEN that must be represented in a fuzzy set with a monotone arrangement function. So this requires a system that can produce predictions in tea production in Kaligua tea plantations to meet market needs. The solution offered is a production prediction system in Kaligua plantations using the Tsukamoto fuzzy method. The prediction results obtained in this study were a 36% increase in tea sales production.
Penerapan Map-Matching Method pada Aplikasi Mobile Peraturan Zonasi Berdasarkan Rencana Detail Tata Ruang (RDTR)
Authors: Erianda Aldo , Nova Fitri
Published: October 2023

UU No. 26 Tahun 2007 menyebutkan bahwa salah satu instrumen pengendalian pemanfaatan ruang adalah melalui Peraturan Zonasi. Untuk meningkatkan kesadaran masyarakat terhadap pemanfaatan ruang serta untuk meningkatkan partisipasi aktif masyarakat dalam memantau pemanfaatan ruang, dibutuhkan tools pendukung yang sesuai dengan karakteristik dan dinamika sosial masyarakat yaitu melalui pengembangan aplikasi mobile. Aplikasi ini akan membandingkan output dari Global Positioning System (GPS) pada perangkat mobile (android) dengan area zonasi. Metoda yang digunakan adalah Map-Matching yaitu dengan membandingkan path geometries dua sumber. Metoda Map-Matching melakukan pencocokan peta dengan menyesuaikan perkiraan posisi mentah oleh GPS ke segmen zonasi terdekat. Aplikasi ini dirancang untuk menginformasikan peraturan zonasi pemanfaatan ruang yang meliputi ketentuan yang harus, boleh, dan tidak boleh dalam pemanfaatan ruang; dan amplop ruang. Pengujicobaan aplikasi dilakukan pada Kota Payakumbuh dengan berdasarkan atas Rencana Detail Tata Ruang (RDTR) Kota Payakumbuh. Aplikasi ini  merupakan aplikasi dengan konsep client server resful web dengan mengimplementasikan map matching algoritma dalam penentuan koordinat terhadap zonasi pemanfaatan ruang
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SMARTPHONE MENGGUNAKAN METODE K – NEAREST NEIGHBOR (KNN) BERBASIS WEB
Authors: Khoirudin Fahrul
Published: October 2023

Perkembangan smartphone saat ini luar biasa pesat dari mulai generasi awal hingga saat ini, perkembangan ini membuat semakin banyak vendor smartphone yang menawarkan produk dengan banyak pilihan dan fitur yang sangat modern. Keberagaman merek, spesifikasi, serta harga yang ditawarkan biasanya tidak dapat menyesuaikan dengan kebutuhan yang diinginkan pengguna, disisi lain kebanyakan pengguna tidak mengetahui pengertian dari spesifikasi smartphone dengan hanya memilih dari tampilan tanpa memperhatikan fungsi dari smartphone tersebut. Dari permasalahan diatas diperlukan sebuah sistem sebagai alat bantu untuk mengambil keputusan. Algoritma K-Nearest Neighbor dapat digunakan sebagai penunjang peilihan keputusan, proses algoritma berjalan dengan menentukan pilihan antara jarak dan variabel data terdekat, sehingga pengguna dapat memilih sesuai fungsionalitas yang diinginkan. Peneliti merancang “Sistem Pendukung Keputusan Pemilihan Smartphone Menggunakan Metode K – Nearest Neigbor (KNN) Berbasis WEB” untuk mengatasi permasalahan. Hasil yang didapatkan pada pengujian Black Box cukup memuaskan dari segi fungsionalitas sistem dan algoritma, namun memiliki permasalahan di bagian Pemilihan Processor. Pada bagian pemilihan processor dipengaruhi parameter yang dibuat dan tidak mampu mencakup seluruh data dari processor. Dalam skema pengujian sistem pakar sebanyak 14 kali mendapatkan hasil kalasifikasi benar 8 dan total akurasi yang didapat kan adalah 57%. Sistem pendukung keputusan smartphone yang menggunakana algoritma K-Nearest Neighbor dapat terimplementasi dengan baik.
Pengaruh Integritas Fitur Dan Kualitas Layanan Terhadap Kepuasan Pengguna Aplikasi Bca Mobile Di Kota Samarinda
Authors: Setyadi Hario Jati , Dewi Milasari Listiana , Irsyad Akhmad
Published: October 2023

Layanan perbankan yang praktis adalah keinginan banyak nasabah karena faktor mobilisasi digital yang serba cepat. Situasi yang berkembang di tengah masyarakat ini, memunculkan inovasi perbankan dalam menciptakan layanan yang lebih praktis yakni layanan digital perbankan salah satunya mobile banking. Tujuan penelitian ini untuk mengetahui bagaimana pengaruh integritas fitur layanan dan kualitas layanan dengan penerapan dimensi Servqual pada Aplikasi BCA Mobile terhadap kepuasan dari pengguna terkhusus di Kota Samarinda. Penelitian ini menggunakan pendekatan kuantitatif dengan alat bantu analisis pengolah data yaitu SPSS Versi 25.0. Sampel dalam penelitian ini terdiri dari 130 pengguna Aplikasi BCA Mobile terkhusus masyarakat Kota Samarinda didapatkan menggunakan metode Cocharn. Hasil penelitian ini menunjukkan bahwa variabel integritas fitur layanan dan kualitas layanan berpengaruh signifikan terhadap kepuasan pengguna dalam menggunakan BCA Mobile di Kota Samarinda. Seluruh variabel bebas yaitu, integritas fitur layanan dan kualitas layanan memiliki kontribusi secara bersama-sama atau bersimultan terhadap variabel kepuasan pengguna dalam menggunakan BCA Mobile di Kota Samarinda
A Convolutional Neural Network (CNN) Classification Model for Web Page: A Tool for Improving Web Page Category Detection Accuracy
Authors: Apandi Siti Hawa , Sallim Jamaludin , Mohamed Rozlina
Published: October 2023

Game and Online Video Streaming are the most viewed web pages. Users who spend too much time on these types of web pages may suffer from internet addiction. Access to Game and Online Video Streaming web pages should be restricted to combat internet addiction. A tool is required to recognise the category of web pages based on the text content of the web pages. Due to the unavailability of a matrix representation that can handle long web page text content, this study employs a document representation known as word cloud image to visualise the words extracted from the text content web page after data pre-processing. The most popular words are shown in large size and appear in the centre of the word cloud image. The most common words are the words that appear frequently in the text content web page and are related to describing what the web page content is about. The Convolutional Neural Network (CNN) recognises the pattern of words presented in the core portions of the word cloud image to categorise the category to which the web page belongs. The proposed model for web page classification has been compared with the other web page classification models. It shows the good result that achieved an accuracy of 85.6%. It can be used as a tool that helps to make identifying the category of web pages more accurate