bluuebunny/crossref_metadata_2025 huggingface dataset:
Examining Public Opinion and Sentiment of COVID-19 Vaccine in China during the pandemic (Preprint)
Authors: Yu Wei , Wu Zonghui , Chen Junpeng , Deng Sanhong
Published: August 2023

BACKGROUND

From the approval of the first COVID-19 vaccine to the end of the COVID-19 pandemic in China, COVID-19 vaccines are considered one of the most effective ways to protect people from the COVID-19 pandemic. The public has been using social media platform such as Sina Weibo as an outlet to express their feelings, concerns, and opinions about COVID-19 vaccines. This study examined COVID-19 vaccine-related blogs between the Dec 2020 and Oct 2021, when large-vaccination were carried out.

OBJECTIVE

The aim of this study was to examine key themes and topics from COVID-19 vaccine blogs in China, as well as to explore the trends and to detect the peaks and events in public opinions and sentiments during the vaccination.

METHODS

A corpus of 893,923 blogs were captured on the largest social platform Sina Weibo in China between Dec 2020 and Oct 2021. There were several blogs classification tasks: first, they need to be classified as relevant or irrelevant; then the relevant blogs were classified as objective and subjective; at last, the subjective blogs were classified as positive, negative, or neutral. We manually annotated 1800 blogs in each classification tasks, respectively. The annotated blogs were used to train a BERT-based classifier. Topic modelling was applied on the total valid blogs and the sentiment blogs to identify the trends and attitudes of the public towards vaccination. Correlations between blogs or sentiments and daily vaccination cases were calculated. We also identified the sentiment peak and the critical public events that may have triggered the surges.

RESULTS

The accuracy for classification task of relevant & irrelevant, subject & object, emotional polarity are 97.2%, 96.3%, and 85.3%, respectively. By summarizing the topics chronically, it is observed that the vaccine-related discussion topics changed with relation to the critical events about vaccine. The public was more interested in the vaccination process than in the emotion to the vaccine. The topics about the negative sentiment were mainly about the side effect and vaccination hesitancy.

CONCLUSIONS

This paper applied Bert-based classifier and natural language processing methods to examine the changes of the topics and emotions about the COVID-19 vaccines in China during the pandemic. To identify the trends of the topics and sentiments could provide the deep insights for policymakers and health officials to construct appropriate policies and programs for COVID-19 vaccination and future pandemics.
Low Carbon Consumer Lending Fintech Product Design Report
Authors: Lv Lilong , Yang Chen , Cai Zhao
Published: August 2023

In short, green growth will play a central role on the road to a more resilient recovery, and financial technology will be a key driver. Fintech, as an essential support in building a green financial system, will play a key role in supporting green finance to serve the real economy more efficiently.This article focuses on the design of low-carbon consumer credit as a financial technology product, given the high costs of green transformation for businesses and the financing and credit risks they face. Through big data, cloud computing, machine learning and other technologies, the product will help businesses to go green, create value for users and bring positive energy to society. In response to the national “dual carbon” target, low-carbon consumer credit will become an important driver to foster the development of emerging industries. This design differs from generic financial technology products in that the design focuses on green, economic benefits, while taking into account corporate social responsibility, and the use of machine learning to create an anti-fraud system throughout credit risk management, loan withdrawal, and detection of all aspects to ensure maximum security for users.
Affects of Shame and Guilt in Disgrace
Authors: Chapagain Netra Narayan
Published: August 2023

This paper studies Disgrace, the world-famous novel by J.M. Coetzee. It argues that by portraying characters, some of whom commit mistakes and some forgive, the novelist seems to picturing a South Africa on the verge of change and transformation. Lurie the main character also goes through transformation from antagonism towards him to affect of sympathy at the end. The affect of shame comes as positive affect which Coetzee bestows on Lurie to evoke realization of shame in all whites for exploiting black people. Reading this novel, the white South Africans naturally feel ashamed of themselves. Thus, it is through Lurie, Coetzee is advocating individual logic to bring transformation in all whites.
Populismo punitivo y opinión pública
Authors: Hernández Morales Alan Salvador
Published: August 2023

En la presente investigación se analiza la percepción que tiene la ciudadanía sobre las instituciones encargadas de la seguridad en México, con la finalidad de conocer por qué, a pesar de su mal desempeño, las instituciones castrenses como el Ejército, la Marina y la Guardia Nacional cuentan con un alto nivel de confianza por parte de la sociedad mexicana, en contraste con las instituciones civiles, como son las corporaciones policiacas. Para ello, se retomó la perspectiva teórica del populismo punitivo, la cual sugiere que las estrategias de seguridad de los gobiernos no están sostenidas en la pretensión de resolver la criminalidad, sino en el propósito de influir en el proceso de opinión pública para alentar la tolerancia de la ciudadanía hacia la violencia del Estado. Con base en los resultados obtenidos mediante un análisis estadístico inferencial, se sostiene que la confianza que depositan las personas en las instituciones mexicanas de seguridad no se desprende de una evaluación respecto a su eficacia para disminuir la inseguridad, sino del apego de la ciudadanía a ciertos valores como el nacionalismo y su preferencia por un gobierno que se conduzca con “mano dura” para proteger a la comunidad de las posibles amenazas.
Molecular Characterization and Antibacterial Activities of Photorhabdus and Xenorhabdus from Mizoram, North-East India
Authors: Lalramchuani Mary , Lalramliana  , Lalramnghaki Hrang Chal , Vanramliana  , Lalhmingliani Esther
Published: August 2023

Photorhabdus and Xenorhabdus are the bacterial symbionts of insect pathogenic nematodes, Heterorhabditis and Steinernema, respectively. This study aims to characterize the bacterial symbionts from Mizoram, North-east India and to evaluate their antibacterial potential. The bacterial isolates were characterized using recA and gyrB gene regions. The ethyl acetate extract of bacterial isolates was tested against pathogenic bacterial strains, viz. Escherichia coli (ATCC 10536), Klebsiella pneumoniae (ATCC 10031), Pseudomonas aeruginosa (ATCC 10145), and Bacillus subtilis (ATCC 11774) using disk diffusion method. Analysis of recA and gyrB genes revealed that the Photorhabdus isolates were P. hindustanensis, and P. namnaonensis. This study constitutes the first documentation of P. namnaonensis from India. The two isolated Xenorhabdus belong to X. vietnamensis and X. stockiae. The ethyl acetate extracts of the studied bacteria suppressed the development of all the microorganisms tested. Based on MIC and MBC values, the highest activity was exhibited by TS (P. hindustanensis) and TD (P. namnaonensis) isolates against P. aeruginosa and K. pneumoniae respectively. The lowest inhibitory activity was observed on both Xenorhabdus isolates (RF and PTS) against B. subtilis. This study focuses on the existence and identification of symbiotic bacteria from Mizoram, an Indo-Burma biodiversity hotspot region, and details their activity against different pathogenic bacteria. Since these metabolites could be potent antibiotics, further research is required to better understand the genetic information, chemical composition, and method of action against other microorganisms.
Isolation, Characterization, and Investigation on Potential Multi-trait Plant Growth Promoting Rhizobacteria from Wild Banana (Musa itinerans) Rhizospheric Soil
Authors: Tatung Mum , Deb Chitta Ranjan
Published: August 2023

The undertaken study was conducted to isolate and characterize the plant growth promoting rhizobacteria from the rhizospheric soil of Musa itinerans collected from Zaphumi village, Nagaland, Northeast India. The purified bacterial isolates were screened for plant growth-promoting traits namely phosphate solubilization, IAA production, siderophore production, and ammonia production. Out of the 25 isolates, the three best isolates with maximum growth promoting traits were selected and considered for further study for heavy metal and salinity tolerance. All three isolates were able to produce siderophore, whereas, only isolate EZ30 was able to produce IAA. Phosphate solubilization ability was the highest in EZ27 (272.89±2.46), followed by EZ30 (109.70±5.47) and EZ11(89.12±1.87). The isolates also exhibited variable levels of cadmium (30- 280µg/ml) and salinity resistance (2-14%). Based on 16S-rRNA gene sequence analysis, these bacterial isolates were identified as Kosakonia arachidis, Pseudomonas putida and Pseudomonas monteilii. The highest salinity tolerance was shown by P. putida (14%), whereas K. arachidis (4%) and P. monteilii (4%) exhibited similar level of tolerance. The cadmium tolerance was the highest for P. monteilii (280 µg/ml), followed by K. arachidis (80 µg/ml) and P. putida (30 µg/ml). Inoculation of Cicer arietinum L. with these three isolates significantly enhanced the growth parameter such as shoot and root length (p≤ 0.05), root and shoot fresh weight and dry weight (p≤ 0.05), except for EZ27 and EZ11 where there was no significant difference in shoot dry weight (p≥ 0.05). Overall, the three selected PGPR strains showed potential biofertilizer traits (phosphate solubilizing, IAA producing, siderophore production, salinity, and cadmium tolerant) to be used in the agricultural fields promoting sustainable practices.
A Review on Solid-lipid Nanoparticle
Authors: Sharma Gaia
Published: August 2023

Abstract: Hydrophilic and hydrophobic medicines can both be carried by solid lipid nanoparticles (SLNs), which are solid core lipid nanocarriers. They are one of the favoured options for medication delivery since they may be constructed of components that are biocompatible. Surface alterations of SLNs may also provide them distinctive qualities like mucoadhesiveness or targeting capacity. A wide range of drug delivery technologies are being developed at an astounding rate. The two main compounds that are widely delivered to target areas are various manufactured nanoparticles and medications with poor pharmacokinetic and solubility characteristics. The features of biodegradability and nontoxicity make nanolipid dispersions (liposomes, deformable liposomes, virosomes, ethosomes, and solid lipid nanoparticles) the best colloidal carriers for administration. Solid lipid nanoparticles (SLNs), which may be manipulated to demonstrate a variety of benefits over liposomes and polymeric nanoparticles, are the most prevalent among them.
A Novel Spin Based Logic Circuitry Synthesis Using SS Gate
Authors: Bhadra Shantanu , Aich Jayanta , Karmakar Suparna , Dey Somnath , Bhadra Sanjay , Banerjee Soumyendu
Published: August 2023

Abstract: Because of its perceived advantages, reversible logic has attracted a lot of study attention. It introduces commendable characteristics like low power consumption, minimized garbage output, and least propagation delay. Reversible logic integrated circuits (ICs) have been produced utilizing traditional CMOS topology in a number of published research endeavors up to this point. However, because CMOS technology is already experiencing a common scaling down issue, researchers are now focusing on post-CMOS devices for the manufacturing of reversible integrated circuits in the future. This particular research project is focused on related research projects that feature reversible IC design based on Spintronic. The authors first implemented spinoriented conventional reversible logic gates and evaluated their effectiveness in terms of generated garbage values, power consumption, device integrity, and size. Later, in order to understand the benefits of the suggested Single Spin Logic based SS gate, the authors come across an SS gate that is singular in its kind and stick to its spin realization.
On recognizing uncertainty in hydrological forecasting: mapping Pappenberger and Beven’s code of practice, principles, and the way forward
Authors: Panchanathan Anandharuban , Mustafa Syed Md Touhidul , Haghighi Ali Torabi , Klove Bjorn , Oussalah Mourad
Published: August 2023

In the last decade, recognizing and reducing uncertainties in
hydrological forecasting has shown renewal interest. However, from a
modeler’s perspective, a unified code of practice is always needed to
handle the various facets of uncertainty in hydrological forecasting.
Pappenberger and Beven, (2006) suggested nine codes of practice for
handling uncertainties in hydrological modelling. In this paper, we have
revisited those principles and added new insights to yield seven key
principles for accounting and reducing uncertainties in catchment
related hydrological forecasting tasks: (1) objectives define the need
for uncertainty, (2) exploring the Catchment Puzzle, (3) selection of
models is key, (4) choices of the method for quantifying uncertainties
and calibration (5) finding the sources of uncertainties (6)
advancements are a critical choice (7) prioritizing End User Needs for
Reliable Forecasting Services. We derive these principles as a summary
of understanding how modelers across the world have approached
uncertainty handling from the analysis of recent literature on reducing
uncertainties in hydrological forecasting. The triangulated
interdependence and uncertainty contributions between the hydrological
processes, epistemic uncertainties, and model development inevitably
impact the forecast. Yet, the mapping of these principles provided in
this study can assist the modelers in developing an improved framework
for hydrological forecasting. Further, this work calls for discussions
among the hydrological science community to establish these principles.
Analyzing Incoherence and Inconsistencies in Data Utilization within Maintenance Operations for Critical Equipment in the Weaving Section of Textile Manufacturing Processes
Authors: Kipchumba Bett , Chemweno Peter , Nganyi Eric , Ochola Jerry
Published: August 2023

In the context of textile manufacturing’s weaving section, efficient
maintenance operations play a pivotal role in upholding critical
equipment’s peak performance and longevity. However, inconsistencies in
data utilization during maintenance can lead to equipment failures,
downtimes, and decreased efficiency. To address this, this study
endeavors to scrutinize these data disparities, focusing on the weaving
section’s essential machinery. The objective encompasses identifying
failure patterns, gauging parameter impacts on system components, and
proposing personalized maintenance strategies based on failure
characteristics. The study employed the Weibull distribution plot to
analyze data from 19 distinctive components, with shape (β) and scale
(η) parameters elucidating failure trends, distinguishing early-life and
wear-out failures. The Anderson-Darling (AD) statistic validated Weibull
fitting. Visual aids and charts presented findings effectively. Analysis
showcased distinct failure patterns across system components, where
shape parameters exceeding 1 denoted wear-out failures, and scale
parameters revealed equipment lifespans. The study emphasized the
necessity of bespoke maintenance approaches in response to equipment
failure traits. Tailoring strategies for early-life and wear-out
failures is essential. The Weibull analysis aids in pinpointing crucial
maintenance junctures, optimizing schedules, and enhancing equipment
reliability. This study’s contribution lies in elevating equipment
dependability, curbing downtimes, and augmenting operational efficiency
in textile manufacturing processes. Recommendations encompass tailored
maintenance strategies, prioritized preventive measures for
wear-out-prone components, comprehensive craftsman training, and
exploring predictive techniques leveraging sensor data and AI.
Rough Set Theory and Association Rule Mining for Detecting Interactions and Improving Machine Learning Predictions for Weather Prediction in Kenya.
Authors: Kega Isaac , Nderu Lawrence , Mwangi Ronald , Njagi Dennis
Published: August 2023

Recently, the ever-increasing complexity of datasets has necessitated
the development of sophisticated techniques to uncover meaningful
patterns and interactions within the data. This paper investigates the
synergy between Rough Set Theory and Association Rule Mining, which is a
potent approach to detecting interactions and enhancing the prediction
capabilities of machine learning models. The proposed framework
leverages the Greedy Heuristic Method for reduct generation, an
established technique in Rough Set Theory, to efficiently identify
relevant features and reduce the dimensionality of the dataset.
Furthermore, Association Rule Mining extracts association rules from the
data, revealing interesting relationships and dependencies among the
features. These association rules are transformed into binary values,
representing the detected interactions, to create a concise yet
informative representation of the data’s intrinsic relationships. This
binary representation is ideal for integration into machine learning
models, enabling them to exploit the discovered interactions and gain a
more comprehensive understanding of the underlying patterns. To assess
the effectiveness of our proposed framework, we propose a comprehensive
experiment involving a weather dataset scraped from www.wunderground.com
for Kariki farm in the Juja sub-county, Kiambu County, Kenya. Using
detected interactions, we modelled them to base machine learning models,
including Naive Bayes, Decision Trees, Support Vector Machines (SVM),
and Logistic Regression models. We compared the performance of these
models while using the detected interactions versus not using the
detected interactions. Through extensive experimentation, we demonstrate
that our proposed approach is more effective than traditional machine
learning models without interaction detection. Our results indicate that
our interaction detection method framework significantly improves the
prediction accuracy of the tested models on the benchmark datasets. This
enhancement in accuracy highlights the practical relevance and potential
benefits of adopting our approach to uncover valuable insights from
datasets.
Heatwave-induced functional shifts in zooplankton communities result in weaker top-down control on phytoplankton
Authors: Huynh-Ngoc Thu-Huong , Horváth Zsófia , Pálffy Károly , Kardos Vivien , Szabó Beáta , Dobosy Péter , Vad Csaba
Published: August 2023

Freshwater ecosystems are increasingly affected by rising annual mean
temperatures and extreme heatwaves. While heatwaves are expected to have
more immediate effects than mean temperature increases on local
communities, comparative experimental studies are largely lacking. We
conducted a one-month mesocosm experiment to test the effect of
different warming scenarios, constantly raised temperatures (+3°C), and
recurring heatwaves (+6°C) on plankton communities. We specifically
tested how shifts in zooplankton trait composition and functional groups
are reflected in ecosystem functioning (top-down control on primary
producers). We found that heatwaves had a stronger and more immediate
effect on trait and functional group compositions. Heatwaves were
associated with larger body sizes, and the decrease in micrograzers
resulted in weaker top-down control, leading to elevated algal biomass.
Altogether, our results highlight the importance of the indirect effects
of heatwaves via inducing shifts in zooplankton functional groups and
trait composition which may foster periodic algal blooms.
Untitled Document
Authors: Su Junbo
Published: August 2023

Phosphorus (P) is one of the mineral nutrients that exhibit a high
propensity for fixation in soil. Interplanting herbage is considered as
a mode to produce green orchards that can effectively improve soil
quality and ecological function. To assess the impacts of intercropping
herbage on the morphological characteristics and availability of P in
the acidic soil of mango ( Mangifera indica L .) orchards,
three kinds of soil (clean tillage [CK], intercropping
Stylosanthes guianensis [SC], and intercropping Cynodon
dactylon (L.) Pers. [CC]) were collected from a tropical mango
orchard during a 4-year field study. This study determined the
morphological characteristics of P in the water-stable aggregates and
bulk soil, analysed the bacterial-fungal community structure and
diversity, and evaluated the correlation between the environmental
factors, P fractions, and microbial communities. This study showed that
interplanting S. guianensis and C. dactylon enhanced the
availability of soil P by increasing the organic P, and partial
inorganic P (Al-P and Fe-P) in the 0.25–2 mm aggregate compared with
the CK. In addition, interplanting herbage also altered the structure
and diversity of soil bacterial-fungal community. A Mantel analysis
revealed that the structure of the bacterial community had a greater
influence on the P fractions compared to bacterial α-diversity. The
fungal community had minimal impact on the P fractions. Interestingly,
the Nitrospira, Candidatus-Udaeobacter,
Pseudolabrys, MND1, Tepidisphaera,
Aquicella, unclassified-Vicinamibacterales,
ADurb.Bin063‒1, Humicola, and Purpureocillium
contribute to the availability of soil P. In conclusion, interplanting
herbage favors the activation of soil P in the acidic soil of mango
orchards.
Evaluating Chlamydia trachomatis and Neisseria gonorrhoeae screening among asymptomatic pregnant women to prevent preterm birth and low birth weight in Gaborone, Botswana: A non-randomized, cluster-controlled trial.
Authors: Wynn Adriane , Mussa Aamirah , Ryan Rebecca , Babalola Chibuzor M. , Hansman Emily , Ramontshonyana Kehumile , Tamuthiba Lefhela , Ndlovu Neo , Wilson Melissa , Ramogola-Masire Doreen , Klausner Jeffrey D. , Morroni Chelsea
Published: August 2023

ABSTRACTObjective To evaluate the impact of screening
and treating asymptomatic pregnant women for C. trachomatis and
N. gonorrhoeae infections on the frequency of preterm birth or
low birth weight infants in Botswana. Design Non-randomized,
cluster-controlled trial. Setting Four antenatal care clinics
in Gaborone, Botswana. Population Pregnant women aged ≥15
years, attending a first antenatal care visit, ≤27 weeks gestation, and
without urogenital symptoms were eligible. Methods Participants
in the intervention clinics received screening (GeneXpert®, Cepheid)
during pregnancy and at the post-natal visit. Participants in the
standard-of-care clinics received screening at the postnatal visit only.
We used multivariable logistic regression and post-estimation predictive
margins analysis. Post-hoc analysis was conducted among sub-samples
stratified by parity. Main outcome measures Preterm birth
(<37 weeks gestation) and low birth weight (<2500g).
Results After controlling for parity, hypertension, antenatal
care visits, and clinic site, the predicted prevalence of preterm or low
birth weight was lower in the intervention arm (11%) compared to the
standard-of-care (16%) (AOR: 0.59; 95% CI: 0.28 to 1.24), but
confidence intervals were wide. In post-hoc analysis, the intervention
was more effective than the standard-of-care (AOR: 0.20; 95% CI:
0.07-0.64) among nulliparous participants. Conclusion A
C. trachomatis and N. gonorrhoeae infection screening and
treatment intervention among asymptomatic pregnant women did not
significantly reduce preterm or low birth weight outcomes. Post hoc
analysis found the intervention reduced adverse outcomes among
nulliparous participants.
Surgical approach had minor association with femoral stem migration in total hip arthroplasty: radiostereometric analysis of 61 patients after 5-year follow-up
Authors: Haugan Kristin , Foss Olav A , Husby Otto S , Husby Vigdis S , Svenningsen Svein , Winther Siri B
Published: August 2023

Background and purpose: Total hip arthroplasty (THA) is usually performed using 1 of 3 surgical approaches: direct lateral (DLA), posterior (PA), or anterior (AA). AA is different from DLA and PA owing to limited intraoperative visibility of the femoral canal. This could affect stem positioning and therefore migration. We aimed to perform an exploratory radiostereometric analysis (RSA) study with 3 groups for surgical approach assessing stem migration up to 5 years postoperatively.Patients and methods: 61 patients with unilateral osteoarthritis of the hip were included. 21 patients were allocated to the DLA, 20 to the PA, and 20 to the AA group. All patients received an uncemented, collarless, double-tapered, fully hydroxyapatite-coated Profemur Gladiator stem. Migration was measured with model-based RSA. Baseline RSA was on day 1 postoperatively. The follow-ups were at day 8, at 5 weeks, and at 3, 6, 12, 24, and 60 months after surgery. Generalized linear mixed models were used to analyze maximum total point motion (MTPM) migrations.Results: Group mean differences in MTPM were 0.4 mm (95% confidence interval [CI] –1.5 to 2.4) for DLA vs. PA, 1.1 mm (CI –1.0 to 3.3) for AA vs. DLA, and 1.6 mm (CI –0.8 to 3.9) for AA vs. PA, when adjusted for sex and age as covariates. 2 stems in the AA group had excessive early migration. For all stems the migrations occurred mainly within 5-week follow-up and then stabilized.Conclusion: At 5-year follow-up, there were no statistically significant differences in stem migration associated with the 3 surgical approaches used in this study.
Mineralogical mosaics from the Carpathian-Pannonian region 5
Authors: Zajzon Norbert , Szakáll Sándor , Fehér Béla , Kristály Ferenc
Published: August 2023

Further mosaic-like data were recorded on the mineral occurrences of the Carpathian–Pannonian region in this fifth member of the series arranged by countries and localities. Each “mosaic” contains a concise mineral description, mainly based on XRPD, SEM-EDX and EPMA measurements and a concise description of the mineral paragenesis. Some minerals are first-time descriptions from the entire discussed region, but all are newly documented occurrences for at least the described locality. From Hungary humboldtine and weddellite are described from the coalbed of Csordakút (Bicske), and data from Sr-rich and other Aluminium Phosphate Sulphate (APS) minerals from the ore mineralization of the Lahóca Hill at Recsk are also reported. Chemical data of Mg-rich tourmaline from the Harghita volcanic ridge are given, and also kyrgyzstanite is described from the ore mineralization of Baia Sprie, Romania. From Slovakia Na-containing sulphates (kröhnkite, ferrinatrite, tamarugite) from the ore mineralization of Farbište (Poniky) and an arsenate (bariopharmacosiderite) from the ore mineralization of Rožňava are also introduced.
Erdő- és fahatár változás a Déli-Kárpátokban a késő glaciális és kora holocén gyors felmelegedési hullámai idején: korai erdőexpanzió és a fiatal driász lehűlés csillapított hatása
Authors: Darabos Gabriella , Magyari Enikő Katalin , Szabó Zoltán , Lisztes-Szabó Zsuzsa , Veres Daniel , Haliuc Aritina , Reitmeyer Bence , Pálfi Ivett
Published: August 2023

A Páreng-hegységcsoportban (Munții Parâng, Déli-Kárpátok) lévő magashegyi tó (Latorica-tó, Iezerul Latorița, 1530 m) üledékének késő glaciális és kora holocén korú szakaszán növényi makrofosszília és pollen analitikai elemzéseket végeztünk, hogy megállapítsuk a fahatár, az erdőhatár és a szubalpi vegetáció éghajlatváltozásra adott válaszreakcióit. A Latorica-tó vízgyűjtőjén és partján 15 510–14 765 kal. BP évek (Grönlandi 2-es oxigénizotóp fázis (GS-2) vége) között a gleccserek visszahúzódása nyomán nem volt, vagy csak ritka növényborítás lehetett, tehát a fahatár valószínűleg a tó alatt húzódott. Az ezt követő GI-1 fázisban (kormodellünk alapján 14 765–13 340 kal. BP évek között) bekövetkező felmelegedés hatására a tó körül kialakuló fahatár ökoton zónában törpefenyő, lucfenyő és szálanként vörösfenyő (Pinus mugo–Picea abies–Larix decidua) keveredésével jellemezhető, boreális nyílt erdő expanzióját rekonstruáltuk. A fahatár fokozatosan magasabbra húzódott, majd a GI-1 végén (13 340–12 930 kal BP évek közt) nagy intenzitású erdőtűz következhetett be a tó körül, annak vízgyűjtőjére is kiterjedve. A fiatal driász lehűlés a jelenlegi kormodell szerint 12 930 és 11 995 kal. BP évek között a tó szerves anyag produkciójának csökkenéséhez vezetett, ugyanakkor a lehűlés csak kis mértékben hatott a tó menti vegetációra. A legjelentősebb változás a havasi cirbolyafenyő (Pinus cembra) megjelenése és előretörése volt ebben az időszakban. A kora holocénben (11 995–11 300 kal. BP évek közt) a fa- és erdőhatár folyamatosan emelkedhetett, az erdőszerkezet zárult és tovább diverzifikálódott a molyhos nyír (Betula pubescens) megjelenésével: luc- (P. abies), vörösfenyő (L. decidua) és törpefenyő (P. mugo) alkotta nyílt, de a késő glaciálisnál zártabb erdők uralták a tó körüli tájat. Eredményeink alapján elmondhatjuk, hogy a késő glaciális erdőexpanzió gyorsasága közeli refúgiális populációkra utal a fenyőfélék esetében, valamint eredményeink megerősítik a Déli-Kárpátok Retyezát vonulatában kapott eredményeket, miszerint a fiatal driász lehűlés a vegetációs időszak hőösszegét csak kis mértékben csökkentette ebben a régióban (szemben Nyugat-Európával). Az éghajlatváltozás kompetíciós előnybe hozta a Déli-Kárpátok szubalpin zónájában a havasi cirbolyafenyőt (P. cembra), mely ekkor terjedt el a fahatár ökoton zónában. A kora holocén felmelegedés során a mainál kontinentálisabb klímán a vörösfenyő széles körben elterjedt a Déli-Kárpátokban a szubalpin zónában.
Non-Formal Educational Interactions (Case Study of Ojek Kers) in Panorama, Guguak Length District, Bukittinggi City
Authors: Sumarlin Sintia , Solfema Solfema
Published: August 2023

This research is motivated by work as motorcycle taxi drivers when they are at the base where they rest while waiting for passengers, when they get together they interact, exchange stories and share experiences, obtain information when motorcycle taxi drivers interact and communicate with fellow motorcycle taxi drivers as well as with passengers, which results in changes behavior of the non-formal education interaction process This research uses a qualitative approach with a case study type which is expected to provide an overview of the research results. The setting of this research was carried out at the Panorama motorcycle taxi base in Bukittinggi. The source of this research was obtained from motorcycle taxi drivers. Data collection techniques used in this study were interviews, observation and documentation. The validity of the data obtained from this study is by triangulation of data sources. The results of the study show that: (1) There are non-formal educational interaction activities about social activities among motorcycle taxi drivers, (2) There are non-formal educational interaction activities about managing finances, (3) There are interactions reminding each other in maintaining health (4) There are interaction activities non-formal education among motorcycle taxi drivers in the religious field.
The Relationship of the Learning Environment with the Activity of the Participants of Taklim Assembly Activities in Maransi Aia Pacah Padang
Authors: Sa'diah Aziz Kholimatus , Aini Wirdatul
Published: August 2023

ABSTRACTThis research is motivated by the fact that the attendance of participants in the Nurul Haq Mosque Taklim activity in Maransi, Aia Pacah Village, Padang City 2021, is decreasing over time. This is presumably due to the less conducive learning environment. The purpose of this study is to see if there is a relevant relationship between the learning environment and the activeness of participants in the Nurul Haq Taklim Council activities in Maransi, Aia Pacah Village, Padang City 2021. This type of research is quantitative correlation. The population in this study were all 46 participants of the Taklim Mosque Nurul Haq Mosque in Maransi, Aia Pacah Village, Padang City 2021, with a sample size of 36 people. Swallowing data using a questionnaire or questionnaire. The data analysis technique uses the proportion formula and the Product Moment correlation formula. The results of the study 1) the learning environment of activities is not conducive; 2) Low participant learning activity; 3) There is a significant relationship between the learning environment and the active learning of participants. The statistical test obtained rcount = 0.826, it can be found a significant relationship between the learning environment of the participants in the Taklim Assembly activity in Maransi, Aia Pacah Village, Padang City.Keywords: Learning Environment, Activity, Taklim Assembly
Society Participation in Course and Training Institutions (LKP) Bougenville Kecamatan Lubuk Basung
Authors: Melinda Audina , Natsir MHD.
Published: August 2023

This study aims to explain: (1) community participation in terms of education on the development of LKP Bougenville Lubuk Basung in the form of financial participation, academic participation, cultural participation and evaluative participation (2) The level of community participation in education. This study uses a qualitative approach with a case study method based on Creswell's theory. The research setting was carried out at LKP Bougenville which is located on Jl. Gajah Mada Hilir Pasar, Lubuk Basung, Agam District, West Sumatra Province . Sources of data in this research are managers, instructors, LKP Bougenville employees, community, community leaders and alumni of course participants. Data collection techniques in this study were observation, interviews, and documentation. The data analysis technique used is data reduction, data presentation, and drawing conclusions. In this study, the data validity technique used source triangulation and technical triangulation. The results of this study indicate that: (1) community participation in terms of education on the development of LKP Bougenville Lubuk Basung has been carried out well. This can be seen from several aspects, such as participation in financial activities in the form of funding for educational activities for courses required by LKP Bougenville. Academic participation in the form of the role of parents in encouraging and motivating and facilitating their children during the education process. Cultural community participation in the form of voluntary promotion of the success of the program at LKP Bougenville. Evaluative participation in the form of community involvement in controlling the implementation of education, so that the community can provide feedback and assessments of the performance of educational institutions. (2) The implementation of the level of community participation in education at LKP Bougenville is at a strong level at the Partnership level.
Relationship Between Parenting and Social Emotional Development of Children Aged 3-4 Years in Tenam Village, Muara Bulian District
Authors: Marinta Ririn , Syur'aini Syur'aini
Published: August 2023

This research is motivated by the low social emotional development of children. This is evident from the fact that there are still a lot of kids who can't cooperate with friends, who don't want to share with friends, who want to win at all costs, and who are less receptive to their environment. This investigation will: 1) Take a look at the explanation of parental care for kids between the ages of 3-4 years. 2) See a summary of the social and emotional growth of kids between the ages of 3-4 years. 3) Seeing the relationship between parenting and social emotional development of children aged 3-4 years. This study's methodology is a quantitative, correlational technique. In this study, a total of 60 women with children in the age range of 3 to 4 years lived in Tenam Village, Muara Bulian District. Researchers frequently employ cluster random sampling. Strategies for gathering data in the form of a questionnaire. Techniques for data analysis use Product Moment and percentage calculations. The results of the study show that: 1) The description of parental care for children in Tenam Village is categorized as good. 2) The description of the social emotional development of children aged 3-4 years in Tenam Village is categorized as not good. 3) There is a relationship between parenting and social emotional development of children aged 3-4 years in Tenam Village.
Parental Approach to Accompanying Children's Learning in the Family in RW II, Parak Gadang Timur Sub-District, Padang Timur District, Padang City
Authors: Defita Annisa Ayu , Jamaris Jamaris
Published: August 2023

At this time, children really need to be given special attention in studying at home, because children are often engrossed in their own world, such as playing with friends, watching television, using gadgets, so often if parents don't monitor their children, children will forget. to study at home. Especially now that students are required to study from home. Therefore, various approaches are needed so that children want to obey what their parents say. Research using qualitative research that seeks to interact with research subjects naturally or naturally. The case study approach that researchers use is to find out about the parental approach in accompanying children in family learning in RW II, Parak Gadang Timur Village, Padang Timur District, Padang City. In the research conducted, there are several parental approaches in accompanying children's learning in families where parents act as educators and children as students at home. This is because the family is the center of children's education from an early age.Keywords: Parental approach, Child, Study
Is Rising Residential Land Prices a Consequence of Domestic or Foreign Land Demand? Evidence From Mauritius Island
Authors: Gopy-Ramdhany Narvada , Seetanah Boopen
Published: August 2023

Some emerging island economies have been fostering foreign direct investments in the real estate market. Given the rise in real estate demand under such contexts, this must have entailed a rise in land demand, and subsequently, land prices could have been affected. This study assesses if the rise in land demand caused by domestic and/or foreign land demand has been influencing residential land prices in Mauritius. To undertake the research, annual data was collected from the year 2000 to 2019 and a structural time series approach was used. It was found that unobserved components, namely the trend level and slope, as well as the cycles were significant in explaining land prices. It was concluded that fluctuations in land prices are significantly explained through latent variables, such as regulations in the land market, fiscal policies concerning mortgage loans, and speculative land buying among others. It was also found that foreign real estate investment (FREI) used as a measure of foreign land demand did not significantly influence land prices. To further probe the factors affecting land prices in Mauritius, domestic demand-side factors were considered and it was found that income, population, unemployment, and real construction costs were significant in explaining land prices.
Reading The Bible, Ecologically: Re-Imagining Our Theological Hermeneutics
Authors:   Pontifical Biblcal Institute, Rome-Italy, Irudayaraj Dominic S.
Published: August 2023

Commencing with a personal prelude to ecological biblical hermeneutics and inspired by a prophetic call of Pope Francis, the present paper outlines how in times of profound crisis, the need to choose what counts is urgent. With recourse to the same model of crisis and choice, a brief overview of some of the salient eco-biblical proposals is presented which then sets the stage for the author’s eco-hermeneutical reading of Isaiah 34-35, which brings to the fore the prophetic portrayal wherein otherwise marginal/ized earth-companions meaningfully show similarity with the cherished Israelite traditions and theological visions.
Indonesian Subtitling Translation Techniques in Muhsin and Mahasin Arabic Cartoons: A Descriptive Study Oriented to Newmark Theory
Authors: Kholis Muhammad Nur , Ayu Dika , N Nadhifa , N Hafidah , Hakimmudin W , Luthfi M
Published: August 2023

The purpose of the study was to identify and describe the translation techniques, methods and ideologies used in translating Arabic cartoon subtitles Muhsin and Mahasin versions of the Youtube channel SFH channel and describe the quality of the translation as the impact of the techniques, methods, and ideologies applied, in terms of accuracy, acceptance and ,readability. This research uses qualitative approaches using qualitative descriptive methods. Included in the study data are Arabic video subtitles Muhsin and Mahasin, while the data sources are muhsin videos and Mahasin  link versions https://youtu.be/PZ3DPvdvVdI. The data collection technique used is scriptwriting. After the data collection process, analysis is also carried out. The findings of the study showed that there are six kinds of translation techniques. Based on the dominant techniques that occur, translators tend to use communicative translation methods and domestication as their ideology. Then, the impact of the application of translation techniques, methods and ideologies on the quality of translation as a whole has accuracy, acceptance, and readability. This shows the quality of good translation.
Immunization E-Book Application Using Web-Based Object Oriented Method
Authors: Rizki Muhammad , Sembiring Boni Oktaviana , Rahayu Eka
Published: August 2023

The digital era, where all activities can be done using technology. Including about books that can turn printed books into digital books or E-books. Immunization is the process of making a person immune or immune to a disease. The type and schedule of immunizations will determine the health of their toddlers both now and in the future. Parents' ignorance of the type and stage of the immunization schedule is an obstacle for parents. To find out the types and stages of the immunization schedule, parents should read a guide book containing information on immunizations. With immunization books that are still conventional, books become less effective due to carelessness, such as being easily damaged and lost. To prevent and reduce these problems the author wants to design an E-book application or a web-based digital version of a book that can be used as a source of immunization information. In designing this application, the author uses the Object Oriented method, namely Object Oriented Analysis and Design (OOAD) for the system development method and Oriented Programming (OOP) for making the application. With the Immunization E-book Application using the Web-based Object Oriented Method, it is hoped that the general public, especially parents with toddlers, doctors and nurses can find out information about Immunization data quickly anytime and anywhere.
K-Means Cluster Analysis for District or City Clustering in Bengkulu Province based on The Number of Base Transceiver Stations and The Strength of Cell Phone Signal
Authors: Rahmawati Anisa , Setyowati Endah
Published: August 2023

The existence of a Base Transceiver Station (BTS) and the strength of cell phone signals in an area have greatly affected the ease of communication and exchanging information between people. This is one aspect to measure technological developments in a region. This study aims to use the K-Means algorithm to classify districts or cities in Bengkulu Province based on the proportion of BTS presence, the proportion of villages with strong telephone signals, and the proportion of villages with 4G internet signals. There are three clusters based on these three variables and there are still significant differences between districts or cities in Bengkulu Province. The output of this study becomes an input for the Bengkulu provincial government to be able to pay attention to the distribution of communication infrastructures in their province.
Transaction Data Security Using AES and RC4
Authors: Ramadhan Puji Sari , Syahril Muhammad , Kustini Rini , Winata Hendryan , Gea Robin Darwis
Published: August 2023

This study discusses the effectiveness of using AES (Advanced Encryption Standard) and RC4 (Rivest Chipper 4) as digital data security algorithms to prevent and protect transaction data from irresponsible parties. This needs to be done because the development of sales transactions or other services has used digital technology a lot. This situation causes the need to secure digital data from existing transactions, so that transaction data can be stored safely. Transaction data security is carried out by changing data into ciphers or codes that are difficult to read using the AES (Advanced Encryption Standard) and RC4 (Rivest Cipher 4) algorithms. This research begins by collecting existing transaction data and then transforming it into ASCII code. The results of the transformation will be used to perform calculations using the AES algorithm. After completing the calculation process using the AES algorithm, then do the calculations using RC4. These results will be stored in the database so that the transaction data that has turned into these codes cannot be known by other parties. The combination of the AES and RC4 algorithms is carried out to strengthen data encryption because there are more and more rotation systems and double security is carried out so that digital data is not easily read and misused. With the presence of this research, it can be shown that the AES and RC4 algorithms are capable of encrypting existing transaction data with multiple levels of security.
Aeroponic Media Potato Plant Monitoring and Control System Internet of Things Based
Authors: Geovanie Mella , Ruslianto Ikhwan , Ristian Uray
Published: August 2023

Aeroponics is a farming method without soil media that works by spraying water and a nutrient solution in the form of a mist on plant roots. The use of the aeroponic method itself requires monitoring and controlling air temperature, air humidity, water temperature, and nutrient levels. Incorrect settings can cause plants to experience drought, root rot, and a lack of nutritional elements, which can cause plant death. Therefore, we need a system that can monitor and control air temperature, air humidity, water temperature, and nutrient content. This research builds an Internet of Things-based system that can assist in providing information regarding the values of air temperature, air humidity, water temperature, and nutrient content displayed on the website application. The system can also perform manual and automatic control functions. In the test results, the sensor value reading system has an accuracy of 98.56% for air temperature, 96.89% for accuracy of air humidity readings, 99.64% for accuracy of water temperature readings, 97.02% for accuracy of nutrient solution readings, and 99.86% for accuracy of water level readings. The test results from observing potato plants for 21 days showed an increase in growth in the highest plant height with an average of 4.36 cm and the lowest plant height growth with an average of 0.96 cm.