bluuebunny/crossref_metadata_2025 huggingface dataset:
of the Substance of Regional Regulation Policies Concerning Waste Management
Authors: Zumar Syafiq Ahmad
Published: April 2024

One of the regional regulations that emerged as a form of implementation of the mandate of Law Number 18 of 2008 is Regional Regulation Number 4 of 2017 concerning Waste Management issued by the Kudus Regency Government. This article aims to examine and assess the content of waste management policies in Kudus Regency. This is important to do considering that the success of a policy can be seen, one of the ways, from the contents of the policy. This article only focuses on the content of policy using Merilee S. Grindle's model, which consists of six aspects, namely: interests affected, type of benefits, extent of change envisions, site of decision making, program implementor, and resources committed. Types of normative juridical research with a statutory approach and a conceptual approach. The primary data source is the policy of Kudus Regency Regional Regulation Number 4 of 2017 concerning Waste Management, while the secondary data is in the form of journals related to waste management. The results of the analysis show that: the formation of regional regulations takes into account the physical, biological, social environment and juridical reasons (interest affected); the benefits of regional regulations are making the environment cleaner and healthier, as well as making people aware of the surrounding environment, more disciplined and more empowered in managing waste (type of benefits); the expected changes are improving environmental quality, improving public health, and changing people's mindset and behavior towards waste (extent of change envisions); the decision-making position is the Regional People's Representative Council (DPRD) of Kudus Regency with the joint approval of the Kudus Regent (site of decision making); implementing the policy, namely the Public Works Department (DPU) (program implementor); Policy resources consist of five components, namely man, materials, methods, machines, and money (committed resources).
Antidepressant and antipsychotic prescribing in patients with type 2 diabetes in Scotland: a time-trend analysis from 2004-2021
Authors: Greene Charlotte , Blackbourn Luke , McGurnaghan Stuart , Mercer Stewart , Smith Daniel , Wild Sarah , Wu Honghan , Jackson Caroline
Published: April 2024

Aim Prescribing of antidepressant and antipsychotic drugs in general
populations has increased in the UK, but prescribing trends in people
with type 2 diabetes (T2D) have not previously been investigated. The
aim of this study was to describe time trends in annual prevalence of
antidepressant and antipsychotic drug prescribing in adult patients with
T2D. Methods Repeated annual cross-sectional analyses of a
population-based diabetes registry, derived from primary and secondary
care data in Scotland, from 2004 to 2021. For each cross-sectional
calendar year time period, we calculated the prevalence of
antidepressant and antipsychotic drug prescribing, overall and by
sociodemographic characteristics and drug subtype. Results The number of
patients with a T2D diagnosis in Scotland increased from 161,915 in 2004
to 309,288 in 2021. Prevalence of antidepressant and antipsychotic
prescribing in patients with T2D increased markedly between 2004 and
2021 (from 20.0 per 100 person-years to 33.3 per 100 person-years and
from 2.8 per 100 person-years to 4.7 per 100 person-years,
respectively). We observed this pattern for all drug subtypes except for
first-generation antipsychotics, prescribing of which remained largely
stable. The degree of increase, as well as overall prevalence of
prescribing, differed by age, sex, socioeconomic status, and subtype of
drug class. Conclusion There has been a marked increase in the
prevalence of antidepressant and antipsychotic prescribing in patients
with T2D in Scotland. Further research should identify the reasons for
this increase, including indication for use and the extent to which this
reflects increases in incident prescribing rather than increased
duration.
Evaluation of Secretome Biomarkers in Glioblastoma Cancer Stem Cells: A Bioinformatics Analysis
Authors: Jangholi Ehsan , Tehran Hoda Ahmari , Ghasemi Afsaneh , Hoseinian Mohammad , Firoozi Sina , Ghodsi Seyed Mohammad , Tamaddon Mona , Bereimipour Ahmad , Hadjighassem Mahmoudreza
Published: April 2024

Glioblastoma (GBM) is a malignant brain tumor that frequently occurs
alongside other central nervous systems (CNS) conditions. Glutamate
release and aberrant cellular behavior are shared features of both CNS
diseases and GBM cells. Neither their origin nor the ways in which CNS
disorders affect the development or behavior of GBM are well understood.
Using data from the Gene Expression Omnibus (GEO) and the Cancer Genome
Atlas (TCGA) datasets–where both healthy and cancerous samples were
analyzed–we used a quantitative analytical framework to identify
differentially expressed genes (DEGs) and cell signaling pathways that
might be related to GBM. Then, we performed gene ontology studies and
hub protein identifications to estimate the roles of these DEGs after
finding disease-gene connection networks and signaling pathways. Using
the GEPIA Proportional Hazard Model and the Kaplan-Meier estimator, we
widened our analysis to identify the important genes that may play a
role in both progression and the survival of patients with GBM. Totally,
890 DEGs, including 475 and 415 up- and down-regulated were identified,
respectively. Our results revealed SQLE, DHCR7,
delta-1 phospholipase C ( PLCD1), and MINPP1 genes
are high expression, and the Enolase 2 ( ENO2) and
hexokinase-1 ( HK1) genes are low expressions. Hence, our
findings suggest novel mechanisms that affect the occurrence of GBM
development, growth, and/or establishment and may also serve as
secretory biomarkers for GBM prognosis and possible targets for therapy.
Structural and functional insight of Mobilized Colistin Resistance-1 variants
Authors: Anik Tasnimul Arabi , Pal Dipta Chandra , Rahman Atiq Abrar
Published: April 2024

Mobilized Colistin Resistance-1 (MCR-1) is a transferase enzyme that
confers resistance to polypeptide antimicrobial called colistin
(polymyxin E) by modifying lipid A of the Gramnegative bacterial cell
membrane. The rapid dissemination of MCR-1 and its variants has become a
public health concern. So far, thirty-six variants of MCR-1 have been
reported across the world. These variants have been detected in 109
different bacterial species. They differ from each other either by
single (29 variants) or multiple (7 variants) substitutions. These
substitutions mostly occur in the transmembrane domain of MCR-1. While
the MCR-1 is 91% conserved overall, the catalytic domain is more stable
with 93.6% of the residues unchanged. In this review, we have
summarized the crystal structure of MCR-1 and provided a comparative
analysis of all mutants. Besides, we have highlighted the differing
amino acid substitutions in the two domains of MRC-1 and in the α-helix,
β-sheets, and loops of cMRC. Moreover, we have focused on residues that
may have a role in catalysis and can be exploited as potential drug
targets. The impact of these changes and the function of active site
residues need to be thoroughly understood to design drugs that are
effective against all the variants of MCR-1.
Closing the loops on Southern Ocean dynamics: From the circumpolar current to ice shelves and from bottom mixing to surface waves
Authors: Bennetts Luke G , Shakespeare Callum J , Vreugdenhil Catherine A , Foppert Annie , Gayen Bishakhdatta , Meyer Amelie , Morrison Adele K , Padman Laurie , Phillips Helen E , Stevens Craig L , Toffoli Alessandro , Constantinou Navid C. , Cusack Jesse , Cyriac Ajitha , Doddridge Edward W , England Matthew H , Evans D Gwyn , Heil Petra , Hogg Andrew Mcc , Holmes Ryan M , Huneke Wilma G C , Jones Nicole L , Keating Shane R , Kiss Andrew E , Kraitzman Noa , Malyarenko Alena , Mcconnochie Craig D , Meucci Alberto , Montiel Fabien , Neme Julia , Nikurashin Maxim , Patel Ramkrushnbhai S , Peng Jen-Ping , Rayson Matthew , Rosevear Madelaine G , Sohail Taimoor , Spence Paul , Stanley Geoffrey J
Published: April 2024

A holistic review is given of the Southern Ocean dynamic system, in the
context of the crucial role it plays in the global climate and the
profound changes it is experiencing. The review focuses on connections
between different components of the Southern Ocean dynamic system,
drawing together contemporary perspectives from different research
communities, with the objective of “closing loops” in our
understanding of the complex network of feedbacks in the overall system.
The review is targeted at researchers in Southern Ocean physical science
with the ambition of broadening their knowledge beyond their specific
field and facilitating better-informed interdisciplinary collaborations.
For the purposes of this review, the Southern Ocean dynamic system is
divided into four main components: large-scale circulation; cryosphere;
turbulence; and gravity waves. Overviews are given of the key dynamical
phenomena for each component, before describing the linkages between the
components. The reviews are complemented by an overview of observed
Southern Ocean trends and future climate projections. Priority research
areas are identified to close remaining loops in our understanding of
the Southern Ocean system.
Offset between profiling float and shipboard oxygen observations at depth imparts bias on float pH and derived pCO2
Authors: Bushinsky Seth M , Nachod Zachary , Fassbender Andrea J , Tamsitt Veronica M , Takeshita Yuichiro , William Nancy
Published: April 2024

Profiles of oxygen measurements from Argo profiling floats now vastly
outnumber shipboard profiles. Air calibration of a float’s oxygen optode
upon surfacing enables accurate measurements in the upper ocean but does
not necessarily provide similar accuracy at depth. In this study we use
a quality controlled shipboard dataset to show that, on average, the
entire Argo oxygen dataset is offset relative to shipboard measurements
(float minus ship) at pressures of 1450 to 2000 db by -1.9 ± 4.7 µmol
kg-1 (95% confidence interval around the mean of {-2.3, -1.5}) and
air calibrated floats are offset by -3.1 ± 5.3 µmol kg-1 (95% CI:
{-3.7, -2.4}). The difference between float and shipboard oxygen is
most likely due to offsets in the float oxygen data and not due to
oxygen changes at these depths or biases in the shipboard dataset. In
addition to posing problems for the calculation of long-term ocean
oxygen changes, these float oxygen offsets impact the adjustment of
float nitrate and pH measurements and therefore bias important derived
quantities such as the partial pressure of CO2 (pCO2) and dissolved
inorganic carbon. Correcting floats with air-calibrated oxygen for the
float-ship oxygen offsets changes float pH by 3.2 ± 3.8 mpH and
float-derived surface pCO2 by -3.3 ± 4.1 µatm. This adjustment to float
pCO2 represents half, or more, of the bias in float-derived pCO2
reported in studies comparing float pCO2 to shipboard pCO2 measurements.
Petrogenesis of the 3.51Ga komatiites from the Gorumahishani greenstone belt, Singhbhum Craton (eastern India)
Authors: Banerjee Ratul , Mondal Sisir K. , Zhou Xiaoyu , Reisberg Laurie C.
Published: April 2024

In the Archean Gorumahishani greenstone belt (~120 km)
of the Singhbhum Craton, the komatiitic suite of rocks
(~3.51Ga) is present at the lower part of the
metamorphosed volcano-sedimentary sequence. The lower adcumulate zone
(~28 m) of the komatiitic sequence is represented by
meta-dunite whereas meta-peridotite is manifested in the spinifex zone
(~200 m) that terminates with the komatiitic meta-basalt
(~250 m). Serpentine, tremolite, chlorite, carbonate,
hornblende, and epidote are the major minerals in the komatiites
indicating a greenschist-amphibolite transition to amphibolite facies
metamorphism. The modal% of chromite is higher in the spinifex zone
than in the lower adcumulates. A gradual decrease in serpentine and an
increase in tremolite and chlorite modal% is observed across the
komatiitic sequence. Thus, bulk-rock geochemistry shows a decrease in Ni
and MgO together with an increase in CaO,
AlO,
FeO (total), TiO, Sc,
Sr, and V from the lower to the upper part of the sequence. Pd/Ru and
Pd/Ir show a negative relation with MgO and Cr which is due to the early
removal of Ru and Ir by chromite from the komatiitic melt.
Compositionally the komatiites are Ti-depleted in the western part and
Al-depleted in the middle and eastern parts of the greenstone belt. A
non-modal batch melting model shows that the Al-depleted komatiitic
parental melt might be generated by ~27% partial
melting of a rising mantle plume at the garnet peridotite stability eld
with ~15% garnet in the residue. The Ti-depleted
komatiitic melt might be generated by ~45% partial
melting of a depleted mantle peridotite of the same rising plume at the
spinel peridotite stability eld. The early Archean voluminous komatiitic
magma of the Singhbhum Craton erupted in an intracontinental rift
setting where the magma interacted with the primordial crust.
High-temperature of the ascending komatiitic magma caused the melting of
the primordial crust at different depths and in different degrees that
produced the parental melt of the contemporaneous (ca. 3.5-3.3 Ga)
tonalite-trondhjemite granodiorite-granite. The intracontinental rift
basin gradually transformed into the ocean basin and a tectonic shift
through the Meso to Late Archean produced the younger granite-greenstone
association (ca. 3.2-2.8 Ga) within active continental margin settings.
Characterization of Southern Peru hydrothermal systems: New perspectives for geothermal exploration along the Andean forearc
Authors: Taillefer Audrey , Taillefer Audrey , Truche Laurent , Audin Laurence , Donzé Frédéric-Victor , Tisserand Delphine , Denti Simona , Llerena Nelida Manrique , Alvarez Pablo Jorge Masías , Braucher Régis , Zerathe Swann , Monnin Christophe , Dutoit Hugo , Maquerhua Edu Taipe , Erlingtton Fredy , Choquehuayta Apaza
Published: April 2024

This study provides a comprehensive characterization of various
hydrothermal sys-

tems in Southern Peru ranging from the faulted Precordillera’s steep
topography up to

the volcanic High Cordillera (>4000 m asl). The objective
is to investigate thermal anoma-

lies that may potentially serve as new geothermal resources.Our
integrated approach com-

bines: i) geochemistry from 14 hot springs sampled throughout the Tacna
region, and

ii) 3D numerical modeling of coupled groundwater and heat transfer
considering topog-

raphy and faults embedded in homogeneous permeability. Water and gas
analysis indi-

cates that the springs located near volcanoes discharge Na-K-Cl waters
with high tem-

peratures (>87°C), high Total Dissolved Solid
concentrations (TDS >3452 mg/L), and

free gases dominated by CO2 (>90 vol%). Springs located
along the regional faults in

the Precordillera discharge Ca-SO4 and Na-K-Cl waters with moderate
temperatures (27-

53°C), intermediate TDS concentrations (464-2458 mg/L), radiocarbon ages
between 1.4

and 7.9 kyr, and free gases dominated by N2 (>95 vol%).
The Aruma springs, which are

located at the transition between the High and the Precordillera,
display intermediate

characteristics. Numerical models accurately replicate the locations and
temperatures

of the fault-related springs only for permeable faults
(>10 m), revealing
the creation

of 100-km long thermal plumes along faults, locally rising up the
150°C-isotherm to about

∼ 1000 m below the surface. This approach clearly distinguishes the
spring origins, which

are volcanic in High Cordillera and tectonic in Precordillera. Moreover,
we highlight that

steep topographic gradient and permeable reverse faults in the Andean
forearc may gen-

erate considerable thermal anomalies, opening perspectives for the
geothermal exploration.
Rethinking the susceptibility-based strategy for marine cloud brightening climate intervention: experiment with CESM2 and its implications
Authors: Chen Chih-Chieh , Richter Jadwiga H. , Lee Walker , MacMartin Douglas G , Kravitz Ben
Published: April 2024

Previous modeling studies indicate that even though marine cloud
brightening under a susceptibility-based strategy is effective in
reducing the global average surface temperature, it triggers a La
Niña-like sea-surface temperature response with cooling mostly confined
within lower latitudes. Here we explore a different cloud seeding
strategy involving seeding of regions with low susceptibility.
Simulations with the Community Earth System Model, version 2 (CESM2)
reveal that because the regional forcing is weaker and more widespread,
cooling is more evenly distributed over the globe. This new strategy
also does not result in the La Niña-like state seen in the other
strategies.
Library Anxiety and Library Use Among First-Year Undergraduates of Selected in Ogun State, Nigeria
Authors: Ogunsola Kemi , Abdulmumin Abiodun Salaudeen
Published: April 2024

Library Anxiety and Library Use Among First-Year Undergraduates of Selected in Ogun State, Nigeria
Intelligent and metaheuristic task scheduling for cloud using black widow optimization algorithm
Authors: Selvakumar Sadhana , Subramanian Pandiarajan
Published: April 2024

Cloud computing is an internet-based infrastructure for services such as
computations, storage, etc., hosted on physical machines. The machines on
cloud infrastructure scales between a few tens to thousands of machines that
are linked in an unstructured way. In cloud computing, minimizing energy
consumption and its associated costs is the primary goal while preserving
efficiency and performance. It progresses the system?s overall productivity,
reliability, and availability. Furthermore, reducing energy use not only
lowers energy expenses but also helps to safeguard our natural environment
by lowering carbon emissions. The objective of our proposed work is to
reduce energy usage in the cloud environment and enhance its performance. We
propose a hybrid approach that incorporates an energy-aware self-governing
task scheduler, namely, Artificial Neural Network (ANN), and a metaheuristic
Black Widow Optimization (BWO) algorithm to solve the optimization issues.
Our suggested task scheduler focuses on minimizing energy consumption,
improving the makespan, and reducing the operating cost while keeping a low
number of active cloud racks. The cloud environment is highly scalable in
this scenario since we adopt a metaheuristic BWO algorithm. CloudSim
simulation framework is used for implementation and experimental analysis.
On the assumptions of inferential contextualism
Authors: Jandric Nikola
Published: April 2024

The text argues in favor of the thesis that inferential contextualism is the
most successful form of epistemic contextualism. To support this claim, the
opposing stance of conversational contextualism and the critique of the
inferential version of contextualism by Thomas Grundmann will be presented.
Conversational contextualism will be scrutinized through criticism from
Michael Williams, the foremost representative of inferential contextualism.
It will be claimed that Williams? criticisms expose the untenability of
conversational contextualism. Subsequently, Grundmann?s critique of
Williams? inferential contextualism, asserting that Williams?s position
implies epistemic realism, will be examined. Ultimately, it will be
demonstrated that Grundmann?s critique does not undermine Williams?s theory.
The externalism that Grundmann associates with epistemic realism is argued
not to align with the externalism within the framework of Williams?s
inferential contextualism. In conclusion, it will be asserted that
inferential contextualism emerges as the most plausible version of this
position.
Margaret Cavendish’s vitalist materialism: Theory of perception and the problem of the metaphysical status of color
Authors: Miletic Bogdana
Published: April 2024

In this paper I analyze aspects of Margaret Cavendish?s metaphysics relevant
to her account of perception, and, specifically, visual perception.
Regarding her theory of sensory perception, I intend to show that Cavendish
considers self-motion and selfknowledge, as essential characteristics of
matter, to be individually necessary and only jointly sufficient conditions
of veridical perception. In the section dedicated to the problem of the
metaphysical status of color, my aim is to show that her objection based on
color constancy is a serious criticism of the, at the time, dominant
mechanist view of the nature of color. Furthermore, her realism concerning
color has greater explanatory power compared to mechanists? view when it
comes to explaining this phenomenon.
Aesthetics and philosophy of the media: A comparative approach
Authors: Vuksanovic Divna
Published: April 2024

The text compares and examines the similarities and differences between
aesthetics and philosophy of media in the historical context, as well as in
the present time. Also, the article establishes the position of aesthetics
and philosophy of media in relation to philosophy, that is, metaphysics
(ontology), as well as other related theoretical disciplines. Considering
the fact that philosophy of media, despite the appearance of its subject in
ancient times, is a relatively new and insufficiently researched field of
investigation, all the mentioned comparisons can only be taken
conditionally, referring to the initial points of view and the current
knowledge, available and handled in this field of research. Therefore, the
article is a kind of anticipatory ?analysis?, based more on intuition than
on rational argumentation, but perhaps it can be useful for future research
on this issue.
Uvological characteristics of local grapevine varieties: Smederevka and Zametovka
Authors: Bradic Ivan , Ristic Milos , Mosic Ivana , Milic Radoslav , Beader Milan , Jaksic Darko
Published: April 2024

Research of uvological characteristics is one of the obligatory steps for
determination of general production and technological value of grapevine
varieties. Such research is particularly recommended for local varieties
that did not previously show sat?isfying characteristics necessary for
production of high-quality wine. Local grapevine varieties Smederevka (white
wine variety) and Zametovka (red wine variety) have mostly served for
production of low-quality wine in the past. With changes in the manner of
pro?duction in the sense of focus on high-quality wine and production of
wine with geograph?ical indications, vineyards planted with these varieties
in Serbia have mostly been grubbed up. However, due to the characteristic
and favourable terroir conditions, they have survived in the Trstenik
wine-growing district (subregion within the Tri Morave wine-growing
re?gion). With the aim of determining uvological characteristics of these
two varieties in current climate conditions that are favourable for these
high-yield varieties, this paper examines the mechanical composition of
grape bunches (bunch weight, number of berries, stem weight), mechanical
composition of berries (weight of 100 berries, weight of skin of 100
berries, weight of mesocarp of 100 berries and weight of seeds of 100
berries), as well as grape must characteristics (sugar content and total
acids in grape must) of representative genotypes of local varieties
Smederevka and Zametovka in production vineyards in the Trstenik
wine-growing district. Research results have shown that uvological
characteristics of these varieties are slightly better in comparison with
previous research carried out in other wine-growing areas, that is, in
comparison with general information from literature, which indicates the
necessity for further research of these varieties in different
agro-eco?logical conditions.
Manas (Mind) Structure: Exposing the Mysterious Functional Anatomy in the Indian System of Medical Philosophy
Authors: MKS Chauhan
Published: April 2024

The mind is not structured anatomically, as emphasized by modern pathology. Instead, it is expanded as a whole in a subtle form behind the physical body. In the Indian system of medical philosophy, the mind is considered as the astral nerves made third body, which identified as the ‘Manomaya-sharira’ (subconscious mind). The mind is composed of millions of astralnadis, through which Pranic-energies circulate freely into the astral anatomy of mind. Seven-chakras are found parallel to the spine, serving as the major seven innovation centres in the body. These Chakras facilitate the connection of the mind with the seven dimensions of the inner world. From these dimensions the Pranic-energies including Sattva, Raja, Tama are exported to the mind and its Nadi-tantras, influencing both the outer and inner subconscious minds. Subsequently, these elements, viz., Sattva, Raja and Tama are thrown from the mind to the outer world through the seven sense organs, manifesting as either constructive or destructive activities. Thus the mind exists due to ‘Prana’, (energy of Omkara) which increases through deeper meditation, sound sleep, and breathing exercises (O2). The positional behaviour of the mind shifts according to the physical and mental temperament, namely Triguna and Tridosha, or Panchavikara. The negative energy (Tama-guna) of the fourth dimension enters the astral Nadis-system of the mind via the interspace of the solar plexus, which crushes the mind’s structures, and consequently, all the Chakras are corrupted and the Nadis are blocked, so it generates a break in the circulation of ‘Prana’ into the Nadis. As a result, many socio-economic challenges and psychosomatic disorders occur.
Sources of Cultural Conflict
Authors: MH Mitias
Published: April 2024

This paper explores the primary causes or factors underlying cultural conflict in all its forms and seeks to answer the questions that follow. Why do people hate and wage wars against each other in the name of culture? Are cultural wars necessary or inherent in the very nature of culture as a phenomenon of human life? Can cultural differences be a justifiable cause of war? In my attempt to explicate and answer these questions, I shall first advance a concept of culture. What do we mean when we speak of culture? What is the essential structure or building blocks of culture as a human phenomenon? The proposition I shall defend is that the tendency of animosity, tension, and conflict among people is not and cannot be inherent in their cultures. Accordingly, any claim that cultural difference is directly or indirectly a cause of cultural violence is not tenable, even though such violence may take place in the name of culture or cultural allegiance. But, if the tendency towards animosity, tension, or conflict is not inherent in the essential structure of culture, what might be the roots of the so-called cultural wars? The thesis I advance and elucidate in detail is that an answer to this question should proceed from an analysis of Socrates’s dictum that ignorance is the source of human evil. A discussion of this dictum and its implications, in the process of examining the roots of cultural wars, will reveal that the real culprits behind cultural conflicts are a cluster of political, intellectual, economic, psychological, and educational factors.
Image Classification of Balinese Seasoning Base Genep Based on Deep Learning
Authors: Prasetia I Putu Widia , I Made Gede Sunarya
Published: April 2024

One of Indonesia's abundant natural wealth is spices and seasonings. Base Genep is a basic spice in making traditional Balinese culinary preparations. Base Genep uses many spices and seasonings, including turmeric, ginger, galangal, galangal, candlenuts, nutmeg, pepper, shallots, garlic, coriander, lemongrass, and cloves. From the variety of spices and seasonings that exist in Indonesia, it turns out that the knowledge of the Indonesian people is still low regarding spices and seasonings, especially among the younger generation. This is because these spices/seasonings have characteristics, shapes, and skin colors that are almost similar at first glance, making them difficult to differentiate. Based on these problems, this research was carried out with the aim of helping the public, especially the younger generation, recognize and differentiate types of spices and seasonings. Therefore, in this research, a model based on Deep Learning technology was created. The general objective of this research is to classify spices/seasonings which are often used as basic ingredients in the manufacture of Bumbu Bali Base Genep such as ginger, aromatic ginger, turmeric, and galangal using the YOLOv8 model. The data used in this study were obtained with a smartphone. The data consists of 1200 images consisting of 4 classes. The data is divided into several parts, namely training data, validation and testing data. The resulting dataset is divided into 4 dataset schemes in conducting model training. The highest score for the model in this study was obtained in dataset scheme number 4.
Particle Swarm Optimization for Optimizing Public Service Satisfaction Level Classification
Authors: Lestari Tyastuti Sri , Ismaniah Ismaniah , Priatna Wowon
Published: April 2024

This research aims to categorize survey data to determine the level of satisfaction with the services provided by the village government as a public service provider. Villages or sub-districts currently offer services in response to community demand, although only partially or as efficiently as possible. The data collection technique used was distributing questionnaires to the village community. The method used for classification is the machine learning method. Before the classification process, feature selection is carried out at the data pre-processing stage using Particle Swarm Optimization (PSO), which has been proven to increase the accuracy of the classification values. The classification methods employed include Decision Tree (DT), Naive Bayes, Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) algorithms for classification purposes. This study achieves the maximum level of accuracy in decision tree classification, attaining an accuracy rate of 97.74%. Subsequently, the KNN algorithm achieved an accuracy of 77.90%, the Nave Bayes algorithm achieved 64.4%, and the SVM algorithm, which yielded the lowest accuracy value, achieved 59.90%. Following the application of Particle Swarm Optimization (PSO) for optimization, the accuracy of the SVM and KNN algorithms improved to 98.3%. The Decision Tree algorithm achieved a value of 97.77%, while the Naive Bayes technique yielded a value of 69.30%.
Mobile Applications for Self-Handle of Pornography Addiction
Authors: Muhammad Raditya , Ardimansyah Mochamad Iqbal , Wahyuningsih Yona
Published: April 2024

Content with pornographic nuances in the form of images, sound, and videos is widely circulating on the internet, including on social media. Teenagers have great potential to become addicted to pornographic content given the widespread use of the internet among adolescents. Pornography addiction has the potential to interfere with the physical and mental development of addicts, even a wider impact can lead to criminal cases in society, such as rape. This paper discusses the development of mobile applications that aim to help pornographic content addicts get rid of pornography addiction problems. The applications developed include a system for assessing the level of exposure to pornographic content, handling and self-care of pornographic content, and a system for detecting the user's location in solitude. The rating system was adapted from the Pornography Addiction Screening Tool (PAST). Handling and self-care pornographic content use the psychological approach of Cognitive Behavioral Therapy (CBT) which has been widely researched and used as a method for mental treatment and healing. An assessment system for the level of exposure to pornographic content and self-care is presented in the application by utilizing chatbot to increase the interactive between the user and the application. The research method uses the Design Research Methodology (DRM) while the method in developing mobile applications uses Agile models as an adaptive software development method. This application is not intended to replace the role of psychologists, but as a supporting tool that can help pornography addicts to reduce their addiction level until they recover. Through black box testing, evaluation results from a functional perspective show that this application can be used as expected.
The Significance of Dynamic COVID-19 Dashboard in Formulating School Reopening Strategies
Authors: Muqtadiroh Feby Artwodini , Yuniarno Eko Mulyanto , Nugroho Supeno Mardi Susiki , Pahlawan Muhammad Reza , Rachmayanti Riris Diana , Usagawa Tsuyoshi , Purnomo Mauridhi Hery
Published: April 2024

Experiments conducted with the COVID-19 dataset have predominantly concentrated on predicting cases fluctuating and classifying lung-related diseases. Nevertheless, the consequences of the COVID-19 pandemic have also spread to the education sector. To safeguard educational stability in response to the remote learning policy, we leverage authentic COVID-19 datasets alongside school information across 154 sub-areas in Surabaya City, Indonesia. Our focus is predicting the dynamic within these sub-areas where schools are located. The outcomes of this study, by incorporating the recurrent neural network of long- and short-term memory (RNN-LSTM) architecture and refined hyperparameters, effectively enhanced the predictive model's performance. The findings are showcased on a dashboard, visually representing the transmission of COVID-19 in schools across each sub-area. This information serves as a basis for informed decisions on the safe reopening of schools, aiming to mitigate the decline in education quality during the challenging pandemic.
Adaptive Threshold Filtering to Reduce Noise in Elderly Activity Classification Using Bi-LSTM
Authors: Rahayu Endang Sri , Yuniarno Eko Mulyanto , Purnama I Ketut Eddy , Purnomo Mauridhi Hery
Published: April 2024

As the global population ages, there is an increasing need to provide better care and support for older individuals. Deep learning support to accurately predict elderly activities is very important to develop. This research discusses a new model integrating filtering techniques using adaptive thresholds with Bidirectional - Long Short-Term Memory (Bi-LSTM) networks. The problem of activity prediction accuracy, mainly due to noise or irrational measurements in the dataset, is solved with adaptive thresholds. Adaptive characteristics at the threshold are needed because each individual has different activity patterns. Experiments using the HAR70+ dataset describe the activity patterns of 15 elderly subjects and the gesture patterns of 7 activities. Based on body movement patterns, the elderly can be classified as using walking aids. The proposed model design obtains an accuracy of 94.71% with a loss of 0.1984.
Parallel Hybrid Particle Swarm-Grey Wolf Algorithms for Optimal Load-Shedding in An Isolated Network
Authors: Sujono  , Priyadi Ardyono , Pujiantara Margo , Purnomo Mauridhi Hery
Published: April 2024

In distribution networks integrated with distributed generation (DG), disconnection from the main grid reduces the power supply significantly. The power imbalance between DG generation and load degrades network stability. This paper proposes a hybrid parallel Particle Swarm Optimization - Grey Wolf Optimizer (PSGWO) algorithm for load shedding optimization. This optimization aims to reduce the DG power not absorbed by the remaining loads and maintain the voltage within the specified limits. The performance of PSGWO is tested on an IEEE 33 bus radial distribution system, considering loading levels of 80% to 140% of the baseload. At a 100% loading level, PSGWO showed the best performance, with a load shedding of 2.2297 MW and a voltage deviation of 0.0049. These values are the smallest compared to the results of the standard PSO and GWO algorithms. The PSGWO algorithm remains superior and converges faster than standard PSO and GWO at all loading levels.
Protecting Indonesian Children in Adapting Climate Change Based on Business and Human Rights Principles
Authors: Ezra Tobias Binsar , Dewi Chloryne Trie Isana
Published: April 2024

Based on research data, the climate change condition has increased globally. Indonesia is a part of this condition with over 100% increase in carbon emissions over the last 12 years. When it comes to the context of climate change, children have a different position as they become the most medically vulnerable group and are pivotal to Indonesia's future, demanding special attention. Previous research pointed out that one of the possible major contributors towards climate change and carbon emissions is companies in industrial and energy activities. With the availability of the child rights convention and national law, this article will answer the notion of whether the existing National Law in Indonesia is sufficient to prevent and protect the rights of Indonesian children in the future, along with an analysis of how business and human rights can push companies to comply and be held accountable in case of violation. The methodology that will be used in this research is the normative juridical method, creating a specific approach to laws and regulations based on data analysis. This article concludes that Indonesia will need to include more Climate change and Business and Human Rights aspects to handle the future implications of climate change impact. This article also concludes that to have a strong hard law system in Indonesia, an integration of International frameworks and Business and Human rights principles into the national law is essential.
Conservative Treatment of Degenerative Meniscus: Building Consensus for the Development of a Rehabilitation Program
Authors: Páscoa Pinheiro João , Rovisco Branquinho Lurdes , Pinheiro Joana , Ramos Susana
Published: April 2024

Background: Degenerative meniscus is a common condition, and the current therapeutic approaches lack consistency, leading to uncertain outcomes. The aim is to establish a standardized approach for the conservative management of degenerative meniscus, informed by evidence-based practices and expert input from professionals in related areas. Methods: The rehabilitation program was developed through a multidisciplinary approach. A systematic review of the existing literature on degenerative meniscus treatments was conducted to identify evidence-based practices. Additionally, experienced professionals from Rehabilitation Medicine, Orthopaedics, and Physiotherapy were consulted to provide their insights and expertise. Consensus meetings were held to integrate these diverse perspectives into a comprehensive rehabilitation program. Results: The resulting rehabilitation program for degenerative meniscus offers a structured and evidence-based approach. It includes a combination of exercises, physical modalities, and lifestyle modifications tailored to the individual patient's needs. Key components of the program focus on muscles strengthening, improving joint stability, and reducing pain and inflammation. The program also emphasizes patient education to promote long-term self-management. Conclusions: By bringing together experts from various healthcare disciplines and incorporating evidence-based strategies, this rehabilitation program addresses the current lack of coherence and heterogeneity in degenerative meniscus treatment. It provides a standardized and functional approach to conservative management. The program's emphasis on individualized care and patient education may lead to better treatment adherence and outcomes. Furthermore, collaboration among healthcare professionals ensures a well-rounded and comprehensive approach to addressing the multifaceted nature of degenerative meniscus.
THE TOPIC OF ACCOUNTING CONSERVATISM IN ACCOUNTING LITERATURE IN INDONESIA: A BIBLIOGRAPHY
Authors: Ina Ina Fitriyani
Published: April 2024

This study wants to enrich the literature on accounting conservatism by classifying research that discusses accounting conservatism in Sinta 2 and 3 accredited journals during the 2010-2019 period. This study uses 39 articles as a sample obtained by inputting "conservatism" or "accounting conservatism" on the Sinta portal. This study classifies articles into three categories, namely the name of the journal, year of publication, and the research method used. The results showed that of the 39 articles discussing accounting conservatism published in 17 accredited Sinta 2 and Sinta 3 journals during the 2010-2019 period or 10 years, the Accounting EJournal was the journal that published the most articles, namely 16 articles or 41.03 % of articles studied were from Accounting E-Journals. The topic of antecedents is the most frequently used topic, which is 25 articles or 64%, while the topic of Consequences is used in 14 articles or 36% of all articles studied, and it can be concluded that 2015 was the year in which there were 10 articles discussing accounting conservatism. Alternatively, 26% of all articles were studied. It can also be concluded that all articles or as many as 100% of the articles studied used analytical methods.
ANALYSIS OF THE IMPORTANCE OF CHANGE MANAGEMENT AND COMPANY LEADERSHIP IN THE ERA OF CHANGE (CASE STUDY OF NOKIA COMPANY)
Authors: Sofiah Murni , Nuri Aslami
Published: April 2024

This study aims to determine the importance of Change Management and Corporate Leadership in Facing the Era of Change that exists in Communication Technology Companies or Mobile Phones. The sample taken in this study is 1 Communication Technology Company, the sample was selected as a targeted case study to the NOKIA Communication Technology Company. The results show that Nokia's leadership is erratic and managers are subject to pressure and fear. There are allegations that bottom intermediaries are afraid to report real problems to leaders. When the sales report fell on target it was really infuriated Nokia executives. They accused the manager of lacking ambition, which led to low sales. Nokia's leadership at its peak was able to accept the time brought by Android and Apple but Nokia's leadership did not want to make these changes. So that makes customers switch to Android and Apple, which causes Nokia to lose its advantage.
Endri Juniyanto The Effect of Contributions Income, Claims Expense and Investments Return on Asset Growth in Sharia Insurance Companies (Islamic General and Life Insurance Company 2016-2020 Period)
Authors: Juniyanto Endri , Sari Ermina
Published: April 2024

This research is important to do considering the assets of the insurance company to finance the existing performance in the insurance. This research was conducted based on the statistics of Islamic insurance companies in Indonesia in the last 3 years (2016 – 2020). By using a sampling technique using purposive sampling, the final sample is 13 samples of companies with a total of 65 samples of observation. Data analysis using multiple linear regression test. The results of the study indicate that: (1) Contribution Income has a positive effect on the growth of Islamic insurance assets. (2) Claims Expense to harm the growth of Islamic insurance assets. (3) Investment Return harms the growth of Islamic insurance assets.
factors affecting on women entrepreneurial intention: A study on Sudanese entrepreneurial women
Authors: Hamid Abdelsalam , Bashir Biraima Mohammed Ahmed , El- khidir El Sheikh Mohammed
Published: April 2024

Purpose:  this study aims to test the factors affecting on women entrepreneurial intention. The study relied on the theory of planned behaviour to interpret the entrepreneurial intention. Methodology; based on the descriptive methodology the study tested the factors of women entrepreneurial intention. The data for this study has been collected by survey from a anon-probability purposive sampling methods the sample size was 251 respondents  of Sudanese entrepreneurial women in Khartoum state. The data collected from the responds was prepared and analyzed; by SPSS; software AMOS; Findings; the results of the study showed that entrepreneurial attitude; has a significant positive effect on entrepreneurial intention, risk-taking propensity; has no significant positive on entrepreneurial intention and creativity has no significant on entrepreneurial intention. Implications for theory and practice; from a practice point of view, the study tested how Sudanese women’s entrepreneurial attitude; risk-taking propensity; and creativity can develop entrepreneurial intention. Originality and value; the main contribution of the study is forming the combination of the factors affecting on women’s entrepreneurship and entrepreneurial intention among Sudanese women entrepreneurs.
Fraud Prevention Efforts In Managing Village Funds In Accordance With Aspects of Human Resource Management with Transparency Principles
Authors: Susanto  , Iqbal Muhammad , Subarto
Published: April 2024

The purpose of this research is to analyze efforts to prevent fraud in the village financial management system, to identify the driving and inhibiting factors. This research uses qualitative research to see the phenomenon of the village financial management system. The location of this research is Jatimulyo Village, Petanahan District, Kebumen Regency. The data used are sourced from secondary data and primary data, data collection techniques with interview documentation and observation. Data analysis techniques are data collection, data reduction, data presentation to draw a conclusion. The results of this research Jatimulyo Village has applied the principle of accountability in managing the allocation of village funds is quite good because it involves the community in the management in preventing fraudulent fund management. Jatimulyo Village has implemented the principle of accountability as indicated by the government providing information to the village community about village funds and the village government inviting the community to play an active role in the implementation of monitoring the village government's performance in managing village funds in the next village government work plan.
A Text Analytic on Dynamic Capability
Authors: Yudistira Yudi , Arkeman Yandra , Andati Trias , Jahroh Siti
Published: April 2024

Business strategy is a variable that affects the use of financial and non-financial performance metrics by firms. Companies use financial and non-financial performance measurements as a source of information to make continuous changes. This constant improvement encourages the development of dynamic capabilities so that the business may compete effectively in an environment of intense competition. A company's business plan serves as a guide for enhancing its fundamental skills. Unique resources in the form of dynamic capabilities represent core competences. Companies have diverse dynamic capabilities. This distinction provides a corporation with a competitive advantage over its rivals. This study aims to identify the published development map and trend of Dynamic Capability from trustworthy sources. More than 873 Scopus-indexed research publications were reviewed. The export data is then processed and analyzed with the R Biblioshiny program to generate the development map for Dynamic Capability. According to the study's findings, the number of publications on the evolution of research's function continues to climb. In addition, the study draws a number of important findings about Dynamic Capability and the direction of future research development.