bluuebunny/crossref_metadata_2025 huggingface dataset:
UV-C Disinfection Robots: A Systematic Review
Authors: Pfleger Sergio , Haertel Maryah Elisa Morastoni , Plentz Patricia Della Mea
Published: June 2024

Several room disinfection robots using Ultraviolet C (UV-C)
light have emerged recently, especially with the COVID-19 outbreak. This
systematic review aims to identify the current development status of
Ultraviolet Germicidal Irradiation (UVGI) disinfection robots, their
limitations, and the technologies they use. An automated search was
performed on the Scopus, ACM Digital Library, IEEE Xplore, and
SpringerLink platforms for papers up to July 2023, followed by a
snowballing search. Were found 96 studies, of which the majority were
not concerned with the dose of UVGI applied or did not implement any
technique to deliver the appropriate dose; the positioning of the lamps
was carried out subjectively; and most of the works did not implement
any technique to prevent accidents with UVGI. From the analysis of these
studies, it was possible to propose a novel classification for the
different types of robots based on their technological and readiness
levels. The data shows that despite recent advances, the development of
disinfection robots is still early, with many advances to be made.
Molecular assessment of food web dynamics identifies critical periods for managing resilience in biological pest control
Authors: Leote Pedro Branco , Rubbmark Oskar Rennstam , Traugott Michael
Published: June 2024

Food webs are not static over time, but our knowledge on their dynamics
is extremely scarce due to methodological challenges. These have imposed
significant limitations on our ability to mechanistically understand how
temporal changes affect trophic networks. Here, we address this gap
using high-throughput molecular diagnostics to measure the season-wide
dynamics of trophic interactions between invertebrate generalist
predators, pest and alternative prey in replicated cereal fields across
two years. We used the level of food web specialisation as a proxy for
predator redundancy in pest control, and hypothesized that it would hit
its minimum, and invertebrate diversity its maximum, at the middle point
of the season. Additionally, alternative prey availability was
indirectly increased by adding manure to half of each field, to test if
this would reduce specialisation. In line with our predictions, it
showed an inverse bell-shaped curve over the season, while prey, but not
predator, diversity showed an opposite trend. No significant effects of
fertilization were found on food web specialisation. Our findings
identify early and late season as the times when generalist predators
are behaviourally most constrained, pin-pointing these periods as the
ones with the lowest redundancy in pest control. Hence, molecular
trophic analyses provide unique insights into the temporal dynamics of
food webs and their properties. This allows the generation of temporal
roadmaps for when management interventions are expected to be most
effective.
Proteomic analysis of total Hydra vulgaris polyp using a combination of free-flow electrophoresis and nanoflow Liquid Chromatography-Tandem mass spectrometry (NanoLC-MS/MS)
Authors: Niakate Ousmane , Delalande Francois , Hirschler Aurelie , Blond Frederic , Cianferani Sarah , Dorsselaer Alain Van , Carapito Christine , Audo Isabelle , Zeitz Christina , Sahel José Alain , Léveillard Thierry , Najate Ait-Ali
Published: June 2024

This study aimed to identify the total proteome of Hydra vulgaris, a
freshwater polyp representative of the phylum Cnidaria. This organism,
known for its organized nerve net, has been a favoured model due to its
unique regeneration capabilities, simple bilayer architecture separated
by a mesoglea, and limited cell types. While vertebrate models offer
insights into molecular signaling, invertebrate like Hydra have been
instrumental in uncovering the evolutionary roles of various molecules.
Despite advances in genomic analyses of Hydra, a comprehensive proteomic
analysis has been lacking. Here, we explored the proteome of Hydra
vulgaris using a combination of gel electrophoresis and nanoflow liquid
chromatography-mass spectrometry, identifying over 5,200 proteins across
all cellular components. This proteomic analysis helps gain insight into
the evolutionary origins and ancestral functions of proteins involved in
contemporary diseases such as Alzheimer’s disease or inherited retinal
dystrophies. This analysis led to the identification of proteins
corresponding to transporter proteins, or to endoplasmic reticulum. Such
are ATPase, calcium-binding or retinal proteins with 4 linked to
photoreceptors and 6 implicated in Alzheimer disease. The data set
provided in this article describes the proteins identified in the body
of Hydra and the processes and functions associated with a selection of
them.
Wide-swath satellite altimetry reveals the 2024 Porto Alegre extreme flood was intensified by backwater effect across choked river section
Authors: Silveira Leonard Niero , Jr. Vitor Hugo Almeida , Yamawaki Mauricio Kenji , Puhl Eduardo , Manica Rafael , Jr Elirio Ernestino Toldo , Silva Tatiana , Geremia-Nievinski Felipe
Published: June 2024

In May 2024, the city of Porto Alegre, southern Brazil, experienced the
worst flood in recorded history. Extensive damage occurred despite large
flood control measures, such as levees and floodwalls, implemented after
the last great flood, in 1941. Wide-swath satellite altimetry, as
provided by the NASA/CNES SWOT mission, revealed distinct flooding
patterns. In the braided Jacuí river, flooding was aggravated by the
backwater effect across a choked section. The wider Guaíba River
experienced smaller water levels and slopes. Stream gradient increased
dramatically, from 0.4 cm/km to 15 cm/km. We have validated the
satellite maps with in situ GNSS hydrographic surveys as well as three
water level stations employing GNSS Interferometric Reflectometry.
Results suggest flood control could be improved in the north region of
the city. Levees failed where water levels were a few meters higher than
that experienced at the same time in other regions of the city.
SVM Classification Model for Power Transmission Line Ice Accretion Based on Feature Optimization
Authors: Sun Yuan , Chen Yunping , Li Xinyu , Xie Siyuan , Luo Chaoming , Gu Xingfa
Published: June 2024

Failures in ice accretion on power transmission lines during winter and
early spring will lead to serious power system issues. This paper
innovatively incorporates weather and topographic factors often
overlooked due to their non-quantifiable nature. Textual weather and
topographic data are quantified and combined with meteorological
factors, including temperature, humidity, wind speed, and wind
direction, to construct feature vectors. A transmission line ice
accretion prediction model is developed using the SVM algorithm and
5-fold cross-validation, employing predicted ice accretion probability
as the model output. According to the comparison results of the model
before and after feature optimization, the model’s performance improves
after incorporating weather and terrain conditions. The precision,
recall, accuracy, and AUC reach 94.85%, 80.63%, 88.05%, and 0.9729,
respectively, higher than the former’s 85.71%, 78.75%, 82.70%, and
0.9341. Field investigations are also implemented to validate the
algorithm, and the results achieved by the proposed algorithm
significantly align with ground observation data. Therefore, it is of
great significance to prevent the occurrence of power grid icing
accidents by incorporating weather and terrain factors into the ice
accretion prediction model.
A Wasserstein Distributionally Robust Model for Transmission Expansion Planning with renewable-based Microgrid Penetration
Authors: Rahim Sahar , Wang Zhen , SUN Ke , Chen Hangcheng
Published: June 2024

This article introduces a Wasserstein distance-based distributionally
robust optimization model to address the transmission expansion planning
considering wind turbine-powered microgrids (MGs) under the impact of
uncertainties. The primary objective of the presented methodology is to
devise a robust expansion strategy that accounts for both short-term
variability and long-term uncertainty over the planning horizon from the
perspective of a central planner. In this framework, the central planner
fosters the construction of appropriate transmission lines and the
deployment of optimal MG-based generating units among profit-driven
private investors. Short-term uncertainties, stemming from variations in
load demands and production levels of stochastic units, are modeled
through operating conditions. The Wasserstein distance uncertainty set
is used to characterize the long-term uncertainty about the future load
demand. To ensure the tractability of the proposed planning model, the
authors introduce a decomposition framework embedded with a modified
application of Bender’s method. To validate the efficiency and highlight
the potential benefits of the proposed expansion planning methodology,
two case studies based on simplified IEEE 6-bus and IEEE 118-bus systems
are included. These case studies assess the effectiveness of the
presented approach, its ability to navigate uncertainties, and its
capacity to effectively optimize expansion decisions.
Combinatorial genomic biomarkers associated with high response in IgE-dependent human mast cell degranulation
Authors: Tam Issan Yee San , Lee Tak Hong , Lau Hang Yung Alaster , Tam See-Ying
Published: June 2024

Background: Mast cells are the major effector cells that mediate
IgE-dependent allergic reactions via high-affinity IgE receptors. We
sought to use integrated network analysis to identify genomic biomarkers
associated with high response in IgE-mediated activation of primary
human mast cells. Methods: Primary human mast cell cultures derived from
a cohort of 262 normal donors were categorized into High, Average and
Low responder groups according to their activation response profiles.
Microarray analysis followed by qPCR was used to identify genes that
were differentially expressed in different responder cultures in their
baseline conditions. The data were analyzed by constructing personalized
perturbed profile (PEEP). Results: Data derived from qPCR validation of
8 selected genes that exhibited differential expression in the High
responder group showed extensive heterogeneity. For upregulated genes,
construction of PEEP for each individual sample of all 3 responder
groups revealed that High responders exhibited higher percentage of
“perturbed” samples whose PEEP values lied outside the normal range of
expression. Moreover, the integration of PEEP of 4 selected upregulated
genes into distinct sets of combinatorial profiles demonstrated that the
specific pattern of upregulated expression of these 4 genes, in a tandem
combination, was observed exclusively among the High responders.
Conclusion: PEEP analysis was used to integrate the PEEP of a set of
signature genes to construct a distinct combinatorial gene expression
pattern for each individual sample. Such combinatorial approach was
useful in identifying a set of genomic biomarkers that are associated
with high degranulation response in human mast cell cultures derived
from the blood of a cohort of normal donors.
Series arc fault diagnosis using generalized S-Transform and power spectral density
Authors: Zhang Penghe , Qin Yiwei
Published: June 2024

It is difficult to identify the arc fault effectively when the loads in
the user-side are more complicated, blocking the development of
low-voltage monitoring and pre-warning inspection. In this paper, series
arc fault signals are acquired according to IEC 62606. The main
time-frequency features can be strengthened more effectively by the
generalized S-transform with bi-Gaussian window, meanwhile the power
spectrum density (PSD) determination allows for the detection of
imperceptible high-frequency harmonics energy reflections, increasing
the rate of arc fault diagnosis and suitable for the arc fault
monitoring of nonlinear loads. The final samples are trained and
classified by two-dimensional Convolutional Neural Network (CNN) and the
overall accuracy of identification is 98.13%, of which involves various
domestic loads, providing a reference for the follow-up arc fault
monitoring and inspection research.
Globally converging hyperplanes for optimization
Authors: Inamdar Satish , Parulekar Satish
Published: June 2024

In this paper, we present a new cutting plane method, a variant of
Kelley’s cutting plane method. Since the new algorithm, termed a
globally cutting hyperplanes algorithm, can solve a nonlinear
optimization program we are motivated in this work to present the theory
and illustrations. Earlier, authors have reported another variant of
Kelley’s cutting plane method termed a sharp-cut algorithm. The new
algorithm too is based on successive linear programming principle and
has a convergence rate at par with the sharp-cut algorithm. The new
algorithm was also able to find multiple optimum solutions by varying a
parameter in the algorithm. Two test examples are solved using the
algorithm. We then solve a two-point boundary value problem using the
new algorithm for the first time. A challenging nonlinear optimization
problem from Hock and Schittkowsky (1981) is solved next. Lastly, an
application example of profit maximization of an alkylation plant is
presented.
Unveiling the Complexity of cis-Regulation Mechanisms in Kinases: A Comprehensive Analysis
Authors: Navarro Alvaro M. , Alonso Macarena , Martínez-Pérez Elizabeth , Lazar Tamas , Gibson Toby J. , Iserte Javier A. , Tompa Peter , Marino-Buslje Cristina
Published: June 2024

Protein cis-regulatory elements (CREs) are regions that modulate
the activity of a protein through intramolecular interactions. Kinases,
pivotal enzymes in numerous biological processes, often undergo
regulatory control via inhibitory interactions in cis. This study
delves into the mechanisms of cis regulation in kinases mediated
by CREs, employing a combined structural and sequence analysis. To
accomplish this, we curated an extensive dataset of kinases featuring
annotated CREs, organized into homolog families through multiple
sequence alignments. Key molecular attributes, including disorder and
secondary structure content, active and ATP-binding sites,
post-translational modifications, and disease-associated mutations, were
systematically mapped onto all sequences. Additionally, we explored the
potential for conformational changes between active and inactive states.
Finally, we explored the presence of these kinases within membraneless
organelles and elucidated their functional roles therein. CREs display a
continuum of structures, ranging from short disordered stretches to
fully folded domains. The adaptability demonstrated by CREs in achieving
the common goal of kinase inhibition spans from direct autoinhibitory
interaction with the active site within the kinase domain, to CREs
binding to an alternative site, inducing allosteric regulation revealing
distinct types of inhibitory mechanisms, which we exemplify by
archetypical representative systems. While this study provides a
systematic approach to comprehend kinase CREs, further experimental
investigations are imperative to unravel the complexity within distinct
kinase families. The insights gleaned from this research lay the
foundation for future studies aiming to decipher the molecular basis of
kinase dysregulation, and explore potential therapeutic interventions.
Tides in complex coastal regions: early case studies from wide-swath SWOT measurements
Authors: Hart-Davis M G , Andersen O B , Ray R D , Zaron E D , Schwatke C , Arildsen R L , Dettmering D
Published: June 2024

Studying ocean tides with satellite altimetry has traditionally been
difficult in coastal regions. The 1-day repeat of the Cal/Val phase of
SWOT provides a unique dataset that can be exploited for tidal analysis.
In this work, KaRIn data from the SWOT Cal/Val phase are analysed in two
coastal regions to present a first look at the possibilities for tidal
analysis from SWOT. The areas are: (1) Bristol Channel and (2) Great
South Bay. When benchmarked against in situ measurements in these
regions, substantial improvements over tide models, which typically
report errors exceeding tens of centimetres and degrees, are seen.
Specifically, the SWOT ocean products exhibit amplitude discrepancies
ranging from 1.75 to 3 cm and phase lag discrepancies between 1.75 and
2.75 degrees when compared with in situ tide gauge data. These findings
underscore the value of SWOT for tidal research in complex coastal
regions.
Tracking Soil Health: Monitoring and Modeling the Soil-Plant System
Authors: Zeng Yijian , Verhoef Anne , Vereecken Harry , Ben-Dor Eyal , Veldkamp Tom , Shaw Liz , Wang Yunfei , Su Z. Bob
Published: June 2024

The assessment of soil health has evolved from focusing primary on
agricultural productivity to an integrated evaluation of soil biota and
biotic processes that impact soil properties. Consequently, soil health
assessment has shifted from a predominantly physico-chemical approach to
incorporating ecological, biological and molecular microbiology methods.
These methods enable a comprehensive exploration of soil microbial
community properties and their responses to environmental changes
arising from climate change and anthropogenic disturbances. Despite the
increasing availability of soil health indicators (physical, chemical,
and biological), a holistic mechanistic linkage between indicators and
soil functions across multiple spatiotemporal scales has not yet been
fully established. This article reviews the state-of-the-art of soil
health monitoring, focusing on understanding how soil-microbiome-plant
processes contribute to feedback mechanisms and causes of changes in
soil properties, as well as the impact these changes have on soil
functions. Furthermore, we survey the opportunities afforded by the
soil-plant digital twin approach, an integrative framework that
amalgamates process-based models, Earth Observation data, data
assimilation, and physics-informed machine learning, to achieve a
nuanced comprehension of soil health. This review delineates the
prospective trajectory for monitoring soil health by embracing a digital
twin approach to systematically observe and model the soil-plant system.
We further identify gaps and opportunities, and provide perspectives for
future research for an enhanced understanding of the intricate interplay
between soil properties, soil hydrological processes, soil-plant
hydraulics, soil microbiomes, and landscape genomics.
The observed El Niño-induced droughts from April to May 2023 increase the risk of famine in West Africa
Authors: Kongo Vincent Ondima , Arreyndip Nkongho Ayuketang
Published: June 2024

The return of El Niño in 2023 brought record-breaking global
temperatures, an increase in the number of forest fires, flooding,
heatwaves, and intense and severe droughts. This paper presents a
detailed analysis of the impact of El Niño on rainfall patterns during
the planting season and the potential consequences for agricultural
productivity in West Africa. We perform a spatio-temporal analysis of
rainfall, temperature, relative humidity, soil moisture, and droughts
for the year 2023 and compare them with the previous year and
climatology. We uncover El Niño footprints characterized by early rains
in March, high temperature, humidity, and low rainfall in the middle of
the planting season (April to May) compared to 2022. Farmers in West
Africa usually expect rainfall in early April to start the agricultural
season. This shift in rainfall patterns can have a serious impact on
agricultural activities and increase vulnerability to severe famine in
the region.
Multi-scale subseasonal forecasts using an unstructured grid global model - a TC and Heatwave Case Study
Authors: Lee Sung-Ho , Tam Chi-Yung Francis , Cao Dingrui , Zheng Yiling , Sze Wai Pang , Wong Man Nam
Published: June 2024

In traditional practice, weather forecasts typically span up to two
weeks, while climate forecasts begin at the seasonal timescale and
extend further. Consequently, there exists a gap between weather and
climate predictions in the subseasonal to seasonal (S2S) range. There is
a growing demand within operational prediction and application
communities for forecasts that bridge this gap, providing predictions
between daily weather forecasts and seasonal climate outlooks. A global
model with an unstructured grid mesh is utilized for this study to
examine the forecast skill. Additionally, ensemble forecasting is taken
into account, which involves running multiple simulations with slightly
different initial conditions to capture uncertainties in the forecast.
These ensemble forecasts are integrated for a period of 23 to 27 days,
allowing for an extended prediction window beyond the typical forecast
horizon. Results indicate that the model can give reasonable predictions
on the development of a super Typhoon at lead times up to 10 days ahead
of its peak intensity. Signal of a heat wave in southern China
associated with the subsidence heating from TC outflow was also
predicted reasonably well, despite variability among members existed due
to disparity in the predicted TC tracks. Additionally, we carried out
sensitivity tests on the use of radiation schemes on model cloud
fraction. It is also found that the use of Xu and Randall generates more
realistic cloud cover than Sundqvist, and resulting in greatly improving
the evolution of synoptic scale weather systems over the western North
Pacific consequentially.
Global temperature dependency of biogenic HCHO columns observed from space: Interpretation of TROPOMI results using GEOS-Chem model
Authors: Li Xicheng , Zhu Lei , Smedt Isabelle De , Sun Wenfu , Chen Yuyang , Shu Lei , Wang Dakang , Liu Song , Pu Dongchuan , Li Juan , Zuo Xiaoxing , Fu Weitao , Li Yali , Zhang Peng , Yan Zhuoxian , Fu Tzung-May , Shen Huizhong , Wang Chen , Ye Jianhuai , Yang Xin
Published: June 2024

Temperature is the principal driver of global HCHO and its primary
oxidation precursor biogenic volatile organic compounds (BVOCs). We
revisit such a temperature (T-) dependency globally, leveraging TROPOMI
HCHO column data. We find substantial variations in the T-dependency of
biogenic HCHO across plant functional types (PFTs), with the highest
over Broadleaf Evergreen Tropical Trees (doubling every 6.0 K ± 2.1 K)
and lowest over Arctic C3 Grass (doubling every 30.8 K ± 9.6 K). The
GEOS-Chem model interprets HCHO columns’ T-dependency at the PFT level
(r = 0.87), with a 16% discrepancy on average. The discrepancy can be
explained by BVOC emissions T-dependency for Broadleaf Evergreen
Tropical Trees and Warm C4 Grass and can be attributed to the
insensitivity of HCHO columns to BVOC emissions for other PFTs. Our
findings underscore a potentially magnified variation of BVOC emissions
by GEOS-Chem and MEGAN therein, particularly in regions experiencing
greater temperature variations.
Validation of Sugarcane Clones for Quality Jaggery Production in North Coastal Zone of Andhra Pradesh
Authors: Sreedevi P. , Adilakshmi D. , Rao P. V. K. Jaganadha , Padmavathi P. , Kiranmai K.
Published: June 2024

The study was conducted at Regional Agricultural Research station, Anakapalle, Andhra Pradesh, India during two consecutive years i.e. 2020–2021 to identify suitable sugarcane varieties for quality jaggery production. Six promising early varieties (2016 A 332, 2016 A 480, 2016 A 291, 2016 A 151, 2016 A 387, 2016 A 275)  along with one check variety (87 A 298)  were studied for cane yield, jaggery recovery. Jaggery making is age-old cottage industry prevailing in rural India. It is the traditional sweetener produced by evaporating sugarcane juice in conventional open boiling system. The quality of jaggery mainly depends on the quality of sugarcane seed used for jaggery making. Generally farmers are preparing jaggery using the cane variety recommended for that area for high sugar recovery. The major factors that govern the jaggery farmer’s preference are color, texture, shelf-life and high jaggery recovery which mainly depends on sugarcane variety. The quality parameter of the jaggery prepared from these varieties was evaluated for sucrose %, reducing sugars %, color and moisture content. The variety 2016 A 332 recorded highest cane yield (129 t ha-1) with jaggery recovery of 11% with highest sucrose % (86.7) and bright color. Among the varieties under study, 2016 A 332 followed by 2016 A 480 and 2016 A 387 are recommended for large scale production of quality jaggery in North coastal region of Andhra Pradesh.
Effect of organic manure and biofertilizers on early growth and vigour of Swietenia macrophylla King. (Mahogany)
Authors: Saini V. , Behera L. K. , Malek S. S.
Published: June 2024

The present investigation was aimed at adopting organic production, promoting forest nurseries for sustainable tree plantation, and exploring Swietenia macrophylla King for timber purposes in present times for local conditions. The experiment was designed to assess the growth and vigour of big-leaf mahogany seedlings amongst various organic manures (FYM, Vermicompost, Neem cake, and Poultry manure) in different combinations with red soil and drenching of various biofertilizers (Azotobacter, Azosprillum, Acetobacter, PSB, Pseudomonas, VAM) in early stages of the nursery in comparison to control (Red soil). Among different organic manure treatments, red soil + poultry manure (2:1) exhibited fair qualitative as well as quantitative responses in growth parameters whereas, the maximum seedling quality index was found in Vermicompost treatment. In another aspect of the study, the results showed the highest growth and vigour were recorded in seedlings drenched with VAM @ 10 ml plant-1.
Religion and Business: Capitalization of Religion in Online Ta'aruf Accounts
Authors: Hidayat Akhmad Alfian , Arifin Ahmad Zainal , Falah Mohammad Bachrul
Published: June 2024

Research on the capitalization of religion in online ta’aruf practices on social media, especially on Instagram, with a focus on the accounts @belajartaaaruf, @KomunitasTa’aruf, and @Komunitas Ta’aruf. The main aim of this research is to understand the phenomenon of capitalization of religion in the context of online ta’aruf and its impact on ta’aruf practices and marriage. Netnographic methods are used to collect data, while qualitative analysis will be applied to identify trends and patterns related to the capitalization of religion on social media. In addition, this article will discuss the historical background of capitalism and the influence of religion in this phenomenon, as well as provide examples of the commercialization of religion in the financial and marketing industries. However, the findings from this research show that the ideas in ta’aruf have decreased in the values of ta’aruf and marriage. Ta’aruf is described as an alternative way for society to achieve marriage which is a "human biological instinct".
Work System Design in the Wallet Production Process Using the Full Time Equivalent (FTE) and Cardiovascular Load (CVL) Method
Authors: Misbaghi Yoni Fajar , Putra Boy Isma
Published: June 2024

UKM Gudang Dompet is a company that produces wallets. The number of orders will affect employee performance because the number of targets achieved will increase the workload for employees, causing fatigue. To prevent excessive fatigue felt by workers in the production division at the Dompet Warehouse, it is necessary to measure workload. The Full Time Equivalent (FTE) method measures working time, which is based on working time, measuring the time needed to complete a particular task and then converting it into an FTE index value. The cardiovascular load (CVL) method measures physical workload based on comparing pulses. Working pulse with a maximum pulse. This research showed that worker fatigue occurred in the packing section, indicated by a CVL value of more than 30%, so FTE calculations were carried out to determine energy consumption. Based on energy consumption calculations, the results obtained are an additional rest time of 32.85 minutes in the packing section. Keywords: workloads; full-time equivalent; CVL; work system design.
Study of Operational and Maintenance Costs for Public Bus Transport
Authors: Kusuma Catra Editya , Dewantoro Fajar
Published: June 2024

Public transportation is a means of transportation for travelling and carrying out daily activities, and it has become one of the community's transportation needs. This research also aims to determine vehicle operational costs and maintenance costs incurred. This research was conducted on the PT Sriwijaya Pratama Express economy bus. The data obtained from this research are the results of interviews with the bus and interviews with the company. The data obtained includes vehicle depreciation, vehicle interest capital, engine oil prices, fuel prices, tyre usage, maintenance wages and bus crew wages. Based on this data, fixed costs, variable costs and overhead costs can be obtained. For fixed costs, the result is IDR 515.64 per km. Non-fixed costs are IDR 4,867.57 per km and overhead costs are IDR 1,076.64 per km. Details such as minor servicing carried out every 10,000 km and major servicing carried out every 20,000 km are also routinely carried out by PT. Sriwijaya Pratama Express. Keywords: Public transportation, BOK, Maintenance.
Increasing Utilization of Government-Assisted Patchouli Distiller In West Pasaman Regency
Authors: Ahmad Hafizh , Fitriana Widya , Analia Devi
Published: June 2024

The patchouli plant has great economic potential for society because it is one of the priority industries. The government continues to encourage the development of the patchouli oil agro-industry. One of the supports provided by the government to improve the quality of patchouli oil is the provision of stainless-steel distiller to several farmer groups in West Pasaman. Unfortunately, this distiller is no longer used even though it is still in good condition. This research proposes appropriate policy directions to increase government-assisted patchouli distillation equipment use in West Pasaman Regency. The policy direction was formulated based on the solution to the obstacles using the Fuzzy Delphi Method (FDM). From the research results, stainless steel distillers are generally better than conventional ones. Still, farmers in West Pasaman Regency do not use government-assisted distiller one hundred percent. Farmers have switched to using traditional distillation. The obstacles to the use of stainless-steel distiller in West Pasaman Regency are community habits, the large capacity of the distiller, the remote location of the distiller, ownership status, the permanent nature of the distiller, the design and mastery of the distiller, technology, and changes in economic sectors. The policy directions related to assistance with stainless steel distiller obtained from the results of this research are: a). The government involves experts in designing and procuring distiller. b). The government conducted a comparative study to determine the appropriate distillation tool specifications. c). Create a policy regarding the number of members of farmer groups. d). Provide technical guidance to farmers regarding the use of stainless-steel distillers. e) Formation of sales cooperatives.  Keywords: Patchouli Oil, Stainless Steel Distiller, Fuzzy Delphi Method, Policy
Tumbuh Bahagia di Tengah Kehidupan Keluarga Berkarier: Bagaimana Dukungan Sosial dan Rasa Syukur Remaja Membentuk Kebahagiaan?
Authors: Rachmaraissa Orella , Aryani Linda
Published: June 2024

Penelitian ini bertujuan untuk mengetahui apakah terdapat hubungan dukungan sosial dan kebersyukuran dengan kebahagiaan pada  remaja dalam keluarga berkarier. Sampel penelitian adalah 107 siswa SMA (31 laki-laki, 76 perempuan) yang diperoleh dengan teknik accidental sampling. Instrumen penelitian meliputi kuesioner yang dimodifikasi; The PERMA-Profiler (Butler and Kern, 2016), MOS Social Support Survey (Sherbourne dan Stewart, 1991), dan Skala Bersyukur Indonesia (Listiyandini, Nathania, Syahniar, Sonia, dan Nadya, 2015). Berdasarkan hasil analisis regresi berganda menunjukkan bahwa dukungan sosial dan kebersyukuran secara bersama-sama memiliki hubungan yang sangat signifikan dengan kebahagiaan (R=0.563; F=24.078; p=0.000). Kebersyukuran diketahui memiliki kontribusi yang lebih besar (b=0.567) daripada dukungan sosial (b=0.253) terhadap kebahagiaan.
Layout Design by Comparing Dedicated Storage Method and Class-Based Storage Method of Spare Parts Warehouse at Phthalic Anhydride (PA) Company
Authors: Syarifudin Arifin Mohammad , Andesta Denny
Published: June 2024

A warehouse is a fixed facility or building that can store goods, raw materials, and finished materials used during production. Therefore, an effective warehouse layout design can help smooth production and storage processes. PT XYZ is a company that produces Phthalic Anhydride (PA). The company has a spare parts warehouse that stores materials, such as mechanical spare parts, electrical spare parts, chemicals, and consumables. The company's problem is that the storage layout's design is not organized, and the materials are not neatly arranged, so it takes time to search and ignore the types of fast-moving and slow-moving materials. Therefore, the purpose of this research is to redesign the layout of the company's warehouse to make it more efficient. The implementation of this research uses a comparison of 2 methods to choose the most optimal one to use, namely dedicated storage and class-based storage. The dedicated Storage method is used as fixed storage because the material place has been determined. In contrast, class-based storage is a method of grouping goods according to each group's type, size, and block boundaries. The results of the calculation of dedicated storage amounted to 472.75m. In comparison, the results of the calculation of class-based storage showed a total jar of 498.1m with an initial layout distance of 529.75m. Then, the most optimal layout proposal uses a dedicated storage layout proposal. Based on the implementation of the research, the benefits obtained from using this method are shortening the retrieval distance and making it easier for employees to find materials. Keywords: warehouse, layout, design, dedicated storage, class-based storage
Dehydrated Amniotic Membrane in Pterygium Surgery
Authors: Khamaily Mehdi , Haddani Othman , Mouhib Loubna , Razzak Amine , Bouazza Mohamed , Elbelhadji Mohamed
Published: June 2024

Pterygium is a degenerative tissue of the conjunctiva that can extend to the cornea and can cause vision loss with astigmatism. Different surgical techniques exist to treat this condition. Amniotic membrane graft is an emerging option. We report this new technique in the case of a 44-year-old male who presented a temporal pterygium. We excised it and grafted an amniotic membrane on the site. During follow-up, we found no complications and no sign of recurrences. The amniotic membrane is the inner layer of the placenta facing the fetus. It has been described to have many benefits. It is more and more used in the medical field and ophthalmology. It has multiple indications for ocular diseases and one of the themes is for pterygium excisions. The surgical procedure is easy and can be reproduced.
Klasifikasi Karies Gigi di Rumah Sakit Gigi dan Mulut Baiturrahmah Menggunakan Metode Random Forest
Authors: Martia Rosada  , Zilrahmi  , Syafriandi Syafriandi  , Tessy Octavia Mukhti
Published: June 2024

Ronnga mulut merupakan gerbang utama tempat masuknya kumat dan bakteri. Oleh kareta itu, pentingya untuk menjaga kebersihan gigi dan mulut. Ketika kebersihan gigi dan mulut tidak terjaga maka akan menyebabkan masalah atau penyakit gigi dan mulut seperti, periodontitis, karies gigi, abses gigi, gingivitis dan masalah kesehatan gigi dan mulut lainnya. Permasalahan gigi dan mulut yang banyak dialami masyarakat adalah karies atau gigi berlubang. Di Sumatera Barat sendiri  memiliki prevalensi karies gigi yang cukup tinggi. Pencegahan terhadap karies gigi perlu dilakukan dengan menyadarkan masyarat tentang kebersihan gigi dan mulut agar bisa mengurangi permasalahan karies gigi di Sumatera Barat. Oleh karena itu, perlu adanya metode yang mampu mengklasifikasi karies gigi berdasarkan gejalanya. Metode klasifikasi sangat berguna untuk mengetahui faktor utama yang menjadi penyebab karies gigi. Salah satu metode klasifikasi yang dapat digunakan adalah random forest. Random forest merupakan metode ensemble yaitu pengembangan dari berapa metode dengan menggunakan bootstrap sampling. Hasil dari penelitian ini menggunakan tingkat OOB terkecil dan Variabel Importance Measure (VIM). Klasifikasi random forest menggunakan data rekam medis sakit gigi dan mulut di rumah sakit baiturrahmah padang menghasilkan tingkat kesalahan OOB sebesar 32.08% atau tingkat akurasinya 67.92%. Model optimal diperoleh menggunakan mtry=2 dan ntree=100. Dari penelitian ini dapat disimpulkan bahwa, plak gigi, umur, dan kebiasan menggosok gigi merupakan variabel imvortance atau faktor utama yang mempengaruhi karies gigi.
Classification of Poor Households in West Sumatra Province using Decision Tree Algorithm C4.5
Authors: Fitriza Dinda , Atus Amadi Putra  , Dodi Vionanda  , Zilrahmi
Published: June 2024

The significant and increasingly complex issue of poverty poses a considerable challenge to Indonesia's development, including in the province of West Sumatra, where the poverty rate was 5.92% in 2022. The government has initiated programs to address poverty by focusing on the criteria of impoverished households. Data on impoverished households can be obtained through the National Socio-Economic Survey (Susenas). One method that can classify impoverished households is the decision tree. A decision tree is a flowchart that resembles a tree. The C4.5 algorithm used in this research can handle both discrete and continuous types, manage variables with missing values, and prune decision tree branches. The analysis results indicate that the primary factor for impoverished households is the number of household members. The model created using the C4.5 algorithm was tested using a confusion matrix resulting in  an accuracy of 69.89%, sensitivity of 71.15% for classifying regular households, and specificity of 68.72% for classifying impoverished households.
Artificial Neural Networks to Forecasting the Retail Price of Beras Solok in Padang City using Backpropagation Algorithm
Authors: Rivani Putri , Tessy Octavia Mukhti  , Dodi Vionanda  , Dina Fitria
Published: June 2024

Strengthening rice production is an important step given its status as a staple food and the growing population. Padang City is only able to meet 30% of the community's needs, so to fulfill the community's needs, rice is also imported from Solok. Forecasting can be done especially in order to see the movement of the average retail price of Anak Daro Solok Rice in Padang City which has decreased and increased in rice prices due to the lack of rice availability in Padang City. In this research, the forecasting method that will be used is the Artificial Neural Network Backpropogation Algorithm. Artificial Neural Networks are widely used for forecasting nonlinear time series data. Based on the results of the research that has been done, forecasting the average retail price of Anak Daro Solok Rice in Padang City using the Backpropagation Algorithm Artificial Neural Network obtained the optimal network architecture has the best model, namely BP (1,6,1) which model produces a MAPE of 0.03121%, indicating that the network performance of the model that has been formed shows very good results because it manages to achieve an accuracy rate (MAPE) of less than 10%. Artificial Neural Network Model based on Backpropagation Algorithm can be applied to predict the average retail price of Anak Daro Solok Rice in Padang City. Comparison of the results of forecasting the average retail price of Anak Daro Solok Rice in Padang City for the next 12 months period, namely an increase from the previous 12 months period.
Pemetaan Intensitas Gempa Bumi di Wilayah Sumatera Barat Menggunakan Model Epidemic Type Aftershock Sequence Spatio-Temporal
Authors: Fikra Hidayatul , Fitria Dina , Nonong Amalita  , Tessy Octavia Mukhti
Published: June 2024

Kejadian gempa bumi yang bersifat acak secara spasial dan temporal membuat hal ini masih terus diteliti dari sudut pandang seismologi dan stokastik. Proses titik merupakan contoh proses stokastik yang menjelaskan aktivitas seismik, salah satunya adalah model Epidemic Type Aftershock Sequence (ETAS). Kekurangan model ini adalah tidak memperhitungkan komponen lokasi. Oleh karena itu, komponen waktu, lokasi, dan magnitudo akan menjadi pertimbangan ketika membahas model ETAS dalam penelitian ini. Model spatio-temporal adalah nama yang diberikan untuk konsep ini. Oleh karena itu, pada penelitian ini akan dilakukan pemetaan intensitas gempa di wilayah Sumatera Barat dengan menggunakan model spatio-temporal ETAS yang dinyatakan dalam fungsi intensitas bersyarat dengan delapan parameter. Data yang digunakan adalah kejadian gempa bumi di wilayah Sumatera Barat dengan ambang batas magnitudo 4 SR dan kedalaman ≤ 70 km periode Januari 2000 hingga Januari 2024. Model parameter diestimasi menggunakan metode maksimum likelihood dan penyelesaiannya menggunakan algoritma Davidon Fletcher Powell. Hasilnya menunjukkan wilayah Sumatera Barat yang intensitas gempanya tinggi adalah wilayah pesisir yaitu Pasaman Barat, Padang, Kepulauan Mentawai dan Pesisir Selatan. Hal ini membuat wilayah tersebut rentan terhadap bencana seismik.
ANDROID-BASED VIRTUAL LABORATORY DEVELOPMENT (CASE STUDY OF CLASS XI OF SMA IN BANDAR LAMPUNG)
Authors: Saepulloh Dede , Gunawan Indra , Agustin Siti Amalia
Published: June 2024

This study aims to develop an android-based virtual laboratory e-module learning media in class XI thermodynamics material which aims to determine the process of developing e-modules, determine the feasibility of e-modules and determine the response of educators and students to the e-modules developed. The type of research is Research and Development (R&D). This research refers to the ADDIE model procedure. The results of the research carried out that the development of an android-based virtual laboratory e-module on thermodynamic material assessments from material experts and media experts obtained a very feasible category with 90% validation percentage of material experts, and 88% of media experts. The questionnaires given by the response of educators and participants to the developed e-module were 90%, small group trials received 92% and field trials scored 92%. This shows that the android-based virtual laboratory e-module on class XI thermodynamics material that has been developed is very feasible and interesting to use as a learning medium.
GEOGRAPHIC INFORMATION SYSTEM FOR ZONATION MAPPING OF STATE JUNIOR HIGH SCHOOL, SURABAYA CITY
Authors: Agustina Rima , Thoyibah Nurut , Falani Achmad Zakki
Published: June 2024

The zoning is a New Student Acceptance System (PPDB) which is enforced by determining the zone radius by the respective regional government, and schools are required to accept a prospective student who is domiciled in the closest radius zone with a certain percentage of the total number of student to be accepted. To create an equal distribution of quality education in all schools in Indonesia. To find out the zoning of schools in the area, you can use the Geographic  Information System (GIS) in the zoning mapping process, especially at (SMPN) in Surabaya City to find out the zoning area easily and accurately, whichever is closest to their domicile. By utilizing GIS, it is hoped that will facilitate the presentation of information, especially those related to school zoning. To find the maximum zoning distance for SMPN Surabaya, the author uses buffering method. Implementation of the GIS program for zoning mapping for SMPN Surabaya in the form is running well. This system can display information and location regarding the Negen Middle School in Surabaya using the buffering method, in addition, this system can also display the display in kilometres and the location of the prospective student to the destination  Negen Middle School. The result of testing the system through the black box shows that the zoning information system at SMPN is feasible to use.
Dampak Toksik Bahan Bakar Minyak (BBM) Premium Terhadap Pembentukan Mikronukleus pada Akar Bawang Merah (Allium cepa): Analisis Konsentrasi dan Waktu Pemaparan
Authors: Kamelia Marlina , Hendras Restuti Ayesha Utari , Satiyarti Rina Budi
Published: June 2024

Fuel Oil (BBM) is fuel that originates and or is processed from petroleum. Premium contains tetra-ethyl-lead containing lead with an octane rating of 88. Lead compounds are carcinogenic chemicals that can trigger aberrations and chromosomal damage that can be expressed in the form of micronuclei. Another compound commonly found in gasoline is BTEX. BTEX is an organic compound in petroleum derivatives that has been specifically studied to exhibit toxic properties. The purpose of this study was to determine the presence of micronuclei as a result of premium exposure. The study was conducted using a completely randomized design (CRD) with 2 factors, namely the premium concentration of P1(5%), P2 (10%), P3 (15%), P4 (20%) P5 (25%) and the length of exposure time of T1 (24 hours)), T2 (48 hours), T3 (72 hours). Statistical analysis is Two Way ANOVA analysis, further test Tukey. The results showed that the premium concentration had an effect on the formation of shallot (Allium cepa) root micronucleus, the significance value was 0.000 (p<0.05), the exposure time had an effect on the formation of the shallot (Allium cepa) root micronucleus. The significance value was 0.014 (p<0.05), the interaction between concentration and duration of exposure did not affect the formation of root micronucleus of shallot (Allium cepa) 0.999 (p>0.05). The higher the concentration of pollutants used, the more the number of micronucleus.AbstrakBahan Bakar Minyak (BBM) adalah bahan bakar yang berasal dan atau diolah dari minyak bumi. Premium mengandung tetra-etil-lead yang mengandung timbal dengan nilai oktan 88. Senyawa timbal merupakan zat kimia yang bersifat karsinogenik yang dapat memicu aberasi dan kerusakan kromosom yang dapat terekspresikan dalam bentuk mikronukleus. Senyawa lain yang biasa ditemukan dalam bensin adalah BTEX. BTEX adalah senyawa organik dalam turunan minyak bumi yang telah dipelajari secara khusus menunjukan sifat toksik. Tujuan penelitian ini adalah untu mengetahui adanya mikronukleus sebagai akibat pemaparan premium. Penelitian dilakukan menggunakan Rancangan Acak Lengkap (RAL) 2 Faktor yaitu konsentrasi premium P1(5%), P2 (10%),  P3 (15%), P4 (20%) P5 (25%) dan lama waktu pemaparan T1 (24 jam), T2 (48 jam), T3 (72 jam). Analisis statistik adalah analisis Two Way ANOVA, uji lanjut Tukey. Hasil penelitian menunjukan konsentrasi premium berpengaruh terhadap pembentukan mikronukles akar bawang merah (Allium cepa) nilai signifikansi 0,000 (p<0,05), waktu pemaparan berpengaruh terhadap pembentukan mikronukles akar bawang merah (Allium cepa) nilai signifikansi 0,014 (p<0,05), interaksi antara konsentrasi dan lama aktu pemaparan tidak berpengaruh terhadap pembentukan mikronukles akar bawang merah (Allium cepa) 0,999 (p>0,05). Semakin tinggi konsentrasi pencemar yang digunakan jumlah mikronukleus semakin banyak.