bluuebunny/crossref_metadata_2025 huggingface dataset:
Addition of homeopathic products to pig diets in the finishing phase promotes improvement in growth performance
Authors: Lima C.S. , Genova J.L. , Barbosa K A. , Rupolo P.E. , Azevedo L.B. , Gregory C.R. , Carvalho S.T. , Nunes R.V. , Carvalho P.L.O. , Faveri J C.
Published: April 2023

Homeopathic products (HP) are a preventive and therapeutic alternative in pig farming. This study evaluated the effect of the concentration of dietary HP on performance, carcass traits, meat quality, and plasma metabolites of growing-finishing pigs. A total of 60 crossbred male pigs (Agroceres PIC × DanBred), immunocastrated at 90 and 120 days old, with an initial BW of 30.71 ± 2.60 kg were allocated in a completely randomized design to three treatments: i) control diet (CT), without HP), ii) CT + HP1 (Figotonus® and Sanoplus®) (1 g/kg of diet), and iii) CT + HP2 (Figotonus and Sanoplus) (2 g/kg of diet). The results indicate that pigs fed diets containing HP2 had a greater average daily gain compared with those fed the control diet, although a higher feed efficiency was observed when pigs were fed the HP1 diet. Animals fed the HP2 diet showed a slight increase in initial postmortem pH in the Longissimus dorsi muscle compared to the control group. Pigs fed HP2 showed a higher initial temperature in the L. dorsi than those fed the control diet. However, there was no effect on plasma metabolite concentration. Based on the results of the present study, the HP1 diet enhanced the performance of finishing pigs without negative effects on meat traits and plasma metabolites.
Environmental factors affecting pre-weaning mortality of Turkish Saanen kids
Authors: Ataç Funda Erdoğan
Published: April 2023

One of the most important problems encountered in breeding Turkish Saanen goats, the dominant dairy goat in Turkey, is the death of kids. Deaths cause serious economic losses and jeopardize the need for qualified breeders. This study aimed to determine the factors that affected the survival of kids in the period between birth and weaning, when most deaths are observed. A total of 3343 records of Turkish Saanen kids were collected in 2019. The importance and order of the effects of environmental factors, such as gender, birth type, sex, birth weight, farm, season of birth, weight at death, and maternal age at the kid’s mortality were determined by using the decision tree statistical method. As a result of this study, the farm effect was the first effective factor in the survivability of kids, and death was less common in small farms (F3), with a rate of 7.8%. The death times of kids were divided into four groups: birth–first 24 hours (M1), 1–7 days (M2), 7–30 days (M3), and 30 days–weaning (90 days) (M4). Deaths were highest in M2 with 40.1% and least in M3 with 5.7%. The death weight variable had a primary effect on deaths. This was followed by birth weight, then farm variables. Two other factors came to the forefront to increase the survivability of the kids: deaths could be greatly reduced by providing good nutrition to the mothers in the prenatal period and offering good management, especially in the first week after birth, to obtain offspring with higher birth weights.
Effect of lupin flake supplementation on rumen fermentation and meat composition of Hanwoo steers
Authors: Um K.H. , Shin J.S. , Park B.K.
Published: April 2023

Lupin is considered a potentially rich source of energy and protein for various livestock breeds. However, there are no studies on rumen fermentation and meat composition of Hanwoo (Korean native) steers following supplementation with lupin flakes. In vitro and in situ experiments of lupin flake-supplemented feed were conducted using three Hanwoo cows with rumen fistulae for four weeks. The feeding experiment was conducted using 40 early-fattening Hanwoo steers randomly divided into four groups for 14 months from 16 to 30 months of age, viz., T1, T2, T3, and T4, with feed containing 0%, 3%, 6%, and 9% lupin flakes, respectively. The pH of the ruminal fluid in vitro at 24 and 48 h was higher in T3 and T4 than T1. The rumen levels of acetate, propionate, butyrate, and total volatile fatty acids after 48 h of incubation were lower in the lupin-supplemented groups than in T1. The ruminal pH in situ after 9 and 12 h was higher in T3 than in T1. The strip loin in Hanwoo steers was lighter in T3 than in the other treatment groups. The levels of carnosine, creatinine, adenosine triphosphate, and adenosine monophosphate in the strip loin were higher in T3 and T4 than in T1. The levels of oleic acid and unsaturated fatty acids and the n-6/n-3 ratio tended to be higher in T3 than in T1. Supplementation of livestock feed with 6% lupin flakes had positive effects on ruminal pH and meat lightness, carnosine, creatinine, adenosine triphosphate, and adenosine monophosphate levels in Hanwoo beef.
Effect of functional oil in piglet feeding and its effects on total blood count, health parameters, and gastrointestinal tract structure
Authors: Santos G. B. , Genova J. L. , Lima A. S. , Oliveira A. C. , Azevedo L. B. , Rupolo P. E. , Nunes R. V. , Oliveira N. T. E. , Carvalho S. T. , Carvalho P. L. O.
Published: April 2023

This study was performed to evaluate the effects of a functional oil blend (castor oil plus cashew nutshell oil) on complete blood count, health parameters, and intestinal structure in nursery pigs. A total of 128 crossbreed piglets (6.79 ± 1.76 kg of body weight) were allocated in a randomized complete block design with two dietary treatments: a functional oil-free diet or a diet based on added functional oil (1500 mg functional oil blend/kg of diet). Both diets had 400–500 mg colistin sulphate/kg. Pigs fed functional oil had higher erythrocytes and monocytes on days 11 and 23, respectively. Lymphocyte concentration was reduced, and ileum pH was increased in pigs fed functional oil on day 23. On day 37, lower jejunal pH was observed. However, no treatment effect on diarrhoea occurrence was observed. The lactic acid bacteria count was greater in jejunum and ileum of pigs fed functional oil on day 23. Pigs fed functional oil had more jejunal lesions on day 37. Based on the criteria of this study, dietary supplementation to piglets with functional oil blend changed the concentration of erythrocytes and monocytes as an important role in the defence of the organism; however, it showed a reduced capacity to modify the pH in small intestinal contents, which was reflected in an absence in the incidence of diarrhoea. In addition, piglets fed the functional oil blend had improvements in lactic acid bacterial counts, without the ability to attenuate lesions in the jejunum.
Evaluation of chia gel incorporation as a fat substitute in Nile tilapia fishburger
Authors: Rampe M.C.C. , Henry F.C. , Oliveira R.F. , Santos Junior A.C. , Maradini Filho A.M. , Dardengo M.C.J.D.
Published: April 2023

Chia gel is known for its functional properties such as high water and oil retention capacity, emulsifying activity, and as a stabilizer for foams and emulsions. Thus, the objective of this study was to evaluate the effect of the inclusion of chia gel as a substitute for pork fat in formulations of fishburgers made with Nile tilapia. Five formulations, one control and four with increasing levels of substitution of chia gel (12.50, 25.00, 37.50 and 50.00%) were evaluated. The fishburgers were characterized regarding their physicochemical composition, their technological characteristics, and microbiological viability. With the incorporation of the gel, there was a significant reduction in lipid component and the caloric value of the formulations, in addition to an increase in the percentage of dietary fibre. In addition, no negative effects were observed regarding yield and the main texture parameters studied. However, the formulations with the highest percentage replacement of pork fat by chia gel were darker when compared to the control treatment. Chia gel may be considered as a novel substitute for pork fat; however, it is recommended that techniques be employed to produce lighter gels, thus avoiding possible rejection by the consumer.
MC4R gene polymorphisms for classification of growth efficiency and carcass measurements in two rabbit breeds in Egypt
Authors: Radwan Hend A. , Ateya Ahmed I. , Elfad Eman A. Abo , Sak Shimaa A. , Fouda Mohamed M. , Darwish Ragab A. , El-Desoky Adel E.
Published: April 2023

Melanocortin 4 receptor (MC4R), a protein derived from the MC4R gene, is involved in feed intake, metabolism control, and body weight regulation in  humans. The purpose of this research was to explore MC4R polymorphisms alongside metabolic marker changes and their relationship with growth and  carcass measurements in rabbits. Using synthetic line V (V-line) and Baladi Black rabbit breeds (60 rabbits per breed), blood samples were collected for  DNA extraction and biochemical analysis. The polymerase chain reaction (PCR) product of MC4R (493 bp) revealed five nonsynonymous single nucleotide  polymorphisms (SNPs; submitted to GenBank with accession numbers gb|MT832144|, gb|MT832145|, and gb|MT832146|). Four SNPs were  characteristic of the V-line breed, and one was characteristic of the Baladi Black. For classification of the defined SNP-dependent groups within and  between breeds, a discriminant analysis model correctly classified a percentage of cases with the following predictor variables: 90.8% for body weight at  5–14 weeks of age; 85% for feed consumption, daily feed intake, and feed conversion ratio; and 93.3% for carcass measurements (for which hind part  weight, liver weight, and liver percentage were the best predictors in both breeds). There were significant differences between and within V-line and  Baladi Black breeds in agreement with metabolic biochemical marker profiles and the defined SNPs. The identified SNPs in the MC4R gene and profile of  the investigated metabolic biomarkers could be used as candidates and reference for the effective characterization of the two rabbit breeds. This study  could therefore facilitate the introduction of markerassisted selection for growth performance characteristics in rabbits.
Effects of different additions to Italian ryegrass (Lolium multiflorum Lam.) on silage quality
Authors: Gürsoy E. , Adem K. , Sezmiş G. , Ali K.
Published: April 2023

This research was carried out to determine the effects of different additions (urea and molasses) used with Italian ryegrass (Lolium multiflorum L.) silage  on fermentation, in vitro gas production, microbiological properties, in vitro digestibility parameters, and relative fodder quality (RFQ) in silages made  under laboratory conditions. The Italian grass (Lolium multiflorum L.) used in the study was chopped to an approximate size of 2–3.0 cm. Amounts of 0, 2,  and 4% molasses and 0, 0.5, and 1% urea were added to the fresh material as a percentage of dry matter. Because of the urea, crude protein (CP) of  Italian ryegrass silage increased, but the content of neutral detergent fibre (NDF), acid detergent fibre (ADF), and acid detergent lignin (ADL) decreased.  While the addition of urea decreased the acetic acid and butyric acid concentrations of the silage, it increased the pH, lactic acid, and ammonia (NH3)  content. Molasses addition increased in vitro gas production and organic matter digestibility (OMD); urea increased metabolic energy (ME) and the net  energy lactation (NEL) values of silages. Urea and molasses both increased in vitro digestibility parameters, microbial protein production and synthesis,  and relative fodder quality of the silage. As a result of the research, it was determined that urea and molasses could be used at contents of 1.5% and 4%,  respectively, in Italian ryegrass silage.
Crambe cake protein as a replacement for soybean meal protein: Intake, digestibility, and ruminal parameters in lamb diets
Authors: Poveda-Parra A.R. , Pereira E. S. , Prado-Calixto O. P. , Guerra G. L. , Pires K. A. , Lopes M.R. , Rodrigues E. R. , Cavalheiro Junior E. R. , Do Carmo J.P.M. , Mizubuti I.Y.
Published: April 2023

The objective was to evaluate different levels of crambe cake protein (0, 250, 500, 750 and 1000 g/kg of DM) to replace soybean meal protein on the  intake, apparent digestibility coefficient (ADC), blood glucose, ruminal fermentation, and protozoal population in lambs. Two experiments were  performed. In experiment one, 40 crossbred male lambs weighing 20 ± 3.45 kg were used, distributed in a completely randomized design, to study intake  and ruminal parameters. In experiment two, 25 crossbred male lambs weighing 23.44 ± 1.04 kg were used to study digestibility. The intake of dry  matter and total carbohydrate (TC) (kg/lambs/day and g/kg0.75), crude protein (kg/lambs/day) and final body weight decreased with increase of crambe  cake protein as a replacement for soybean meal protein, while e t h e r e x t r a c t ( EE) intake (kg/lambs/day and g/kg0.75) increased. The ADC of EE  presented a positive linear effect and the ADC of TC and non-fibrous carbohydrates presented a negative linear effect. There was no interaction within  treatments and collection period (0, 3, 6 and 9 h) on ruminal fluid characteristics. Blood glucose presented a quadratic effect for levels of crambe cake  protein in diets (max. P = 35.18%), and linear increase for collection period. Ruminal pH showed a quadratic effect for sampling hours (max. P = 5.43 h).  For protozoa evaluation, the total amount, Entodinium, and Eudiplodium presented linear decreasing effects with treatment, while Isotricha,  Eudiplodium, Ostracodinium and the total amount of protozoa had a linear decrease with sampling hours. Soybean meal protein can be replaced by  crambe cake protein at up to 250 g/kg DM.
Impact of Unilateral Coercive Measures on Implementation of the 2030 Agenda in the Republic of Belarus
Authors: Leshenyuk O. N.
Published: April 2023

The aim of this research is to provide a comprehensive analysis of the impact of unilateral coercive measures on sustainable development processes in the Republic of Belarus, as well as their influence on the implementation of the 2030 Agenda in Belarus and the Union State.

   Divided into three sections, the article begins by examining how Belarus has adapted its legal framework and state policy to conform to the 2030 Agenda. However, the use of unilateral coercive measures by the collective West to pressure and incentivize “appropriate” behavior, in contradiction of the decisions of the UN Security Council, diverts the country’s resources toward safeguarding its sovereignty and non-intervention in the aff airs of other states. The second section delves into the role of integration associations and the Union State in overcoming coercive restrictive measures. Finally, the third section sheds light on the impact of such measures on the implementation of the 2030 Agenda. Specifi cally, the sectoral sanctions imposed by the US and EU on Belarus in 2021 hinder the development of a common agricultural policy, as well as gas, oil, and petroleum markets of the Union State, while simultaneously creating a fi nancial rift between Belarus and Russia. This underscores the negative eff ects of these measures in the short term.
The Efficiency of Sanctions Policy. The Case of the Federal Republic of Yugoslavia (1991- 2001).
Authors: Entina E. G. , Životić A.
Published: April 2023

The issue of sanctions, which has acquired a new dimension in the contemporary era, has transformed from a subject area in International Law into an interdisciplinary one, and has been widely analyzed in political science, sociology, and other fi elds. The case of Yugoslavia, which represents one of the earliest examples of the application of sanctions as a means to modify not only international actions, but also a political regime, has formed, among other things in modern history, the increasingly popular phenomenon of “cancelling” a nation. Given the external similarity of the processes that took place in the former Yugoslavia, in which Belgrade was involved, and in the post-Soviet space, it is of undisputed interest. This article delves into the situation of the Yugoslav economy, its reaction to the regime of comprehensive restrictions, as well as the eff ects of the sanctions policy in a comparative relation to the situation in modern Russia and the anti-Russian sanctions regime.
Inferring Symbolic Automata
Authors: Fisman Dana , Frenkel Hadar , Zilles Sandra
Published: April 2023

We study the learnability of symbolic finite state automata (SFA), a model
shown useful in many applications in software verification. The
state-of-the-art literature on this topic follows the query learning paradigm,
and so far all obtained results are positive. We provide a necessary condition
for efficient learnability of SFAs in this paradigm, from which we obtain the
first negative result. The main focus of our work lies in the learnability of
SFAs under the paradigm of identification in the limit using polynomial time
and data, and its strengthening efficient identifiability, which are concerned
with the existence of a systematic set of characteristic samples from which a
learner can correctly infer the target language. We provide a necessary
condition for identification of SFAs in the limit using polynomial time and
data, and a sufficient condition for efficient learnability of SFAs. From these
conditions we derive a positive and a negative result. The performance of a
learning algorithm is typically bounded as a function of the size of the
representation of the target language. Since SFAs, in general, do not have a
canonical form, and there are trade-offs between the complexity of the
predicates on the transitions and the number of transitions, we start by
defining size measures for SFAs. We revisit the complexity of procedures on
SFAs and analyze them according to these measures, paying attention to the
special forms of SFAs: normalized SFAs and neat SFAs, as well as to SFAs over a
monotonic effective Boolean algebra. This is an extended version of the paper
with the same title published in CSL'22.
Freie und faire Wahlen?
Authors: Krennerich Michael
Published: April 2023

Weltweit wird gewählt. Doch nicht jede Wahl ist demokratisch. Auf anschauliche und leicht verständliche Weise zeigt die Studie auf, wie nationale Wahlen in Demokratien und Autokratien durchgeführt werden. Zu diesem Zweck werden Wahlrecht, Wahlorganisation und Wahlsysteme beleuchtet. Über einführende wahltheoretische Überlegungen hinaus finden sich in der Schrift jede Menge rechtliche und praktische Überblicke und Länderbeispiele, einschließlich so mancher Kuriosität und Wahlmanipulation. Auch die Wahlregelungen in Deutschland bleiben nicht unerwähnt. Ein Buch voller interessanter Wahldetails, gut lesbar aufbereitet.
Konkrete Menschenwürde
Authors: Spieker Michael
Published: April 2023

Was ist der Inhalt der Menschenwürde und wer ist ihr Träger? Der Streit darum entzündet sich immer wieder neu, ob es um bioethische Fragen oder um die Ordnung der Gesellschaft geht. Nicht selten wird aus der Umstrittenheit geschlossen, die Menschenwürde wäre ein leerer Begriff. Dann freilich könnte man sich ruhig von ihr verabschieden. Demgegenüber zeigt diese Arbeit die absolute Geltung von Menschenwürde auf. Selbst da, wo sie verletzt wird, wird sie noch als Voraussetzung in Anspruch genommen. Damit Menschenwürde sinnvoll gedacht werden kann, muss sie als Sache einer Handlung statt als Eigenschaft erkannt werden. Nach einem Gang durch die Entwicklung des Begriffs der Würde von Platon bis Hegel, zeigt sich hier die Widersprüchlichkeit der Menschenwürde. Sie besteht in einer freien Gabe und hat doch verpflichtenden Charakter, sie ist strikt individuell und dennoch sozial zu vermitteln. Im Blick auf Bioethik, Sozialstaatlichkeit und Bildung zeigen sich die Konsequenzen des konkreten Begriffs der Menschenwürde.
Vitalisierung in der Praxis
Authors: Höhne Siegrun
Published: April 2023

Wer jung und ambitioniert ist, verlässt die schrumpfenden ländlichen Räume. Zurück bleiben die Alten und die, „die es nicht geschafft haben“. Ist das so? Tatsächlich wollen auch viele junge Leute bleiben bzw. ins Dorf zurückkehren. Wie bleibt bzw. wird der ländliche Raum für junge Menschen als Lebensmittelpunkt interessant? Welche Entwicklungsperspektiven brauchen sie? Jugendliche engagieren sich nicht weniger als Erwachsene für ihre Region, sie tun es anders: zielgerichteter, punktueller, eventorientierter. Bei der Herstellung eines Produktes sorgt eine aktive Beteiligung am Herstellungsprozess zu einer starken Bindung an das Produkt: Heißt das Produkt „Regionale Entwicklung“ oder „Stärkung demokratischer Grundhaltung und zivilgesellschaftlicher Beteiligung“, empfiehlt sich also eine Einbeziehung Jugendlicher bereits bei der Herstellung; eine Ermöglichungskultur für Ideen und Ansätze junger Menschen in der regionalen Entwicklung ihrer Region mit ernst gemeinten Gestaltungsspielräumen und offen für kreative Ansätze. Wie das funktionieren kann, zeigt dieser Band anhand des Teilprojekts der Evangelischen Akademie Sachsen-Anhalt.
Über politische Bildung
Authors: Sander Wolfgang
Published: April 2023

Die Wiener Beiträge zur politischen Bildung thematisieren didaktische Grundlagen, aktuelle Forschungen und wissenschaftliche Kontroversen zur politischen Bildung. Sie greifen die aktuelle Fachdiskussion in Österreich auf und verbinden sie mit der internationalen wissenschaftlichen Debatte zur politischen Bildung. „Über politische Bildung“ – so lautete auch das Thema einer großen Rede, mit der im Jahr 1891 der Jurist Adolf Exner als neu gewählter Rektor der Universität Wien erstmals politische Bildung als eine Aufgabe der Universität forderte. Exner prophezeite, dass das 20. Jahrhundert ein „politisches Jahrhundert“ werden würde, in dem die politischen Probleme sich ohne politische Bildung nicht würden bewältigen lassen. Was ist aus dieser Prophezeiung geworden? Wolfgang Sander würdigt in seiner Wiener Antrittsvorlesung Exners Überlegungen, bilanziert die tatsächliche Entwicklung der politischen Bildung im 20. Jahrhundert und umreißt das heutige Selbstverständnis dieses Fachgebietes und seiner Didaktik. In einem abschließenden Ausblick fragt er nach neuen Herausforderungen für die politische Bildung im 21. Jahrhundert – in einem Umfeld, in dem die Politik zunehmend durch Europäisierung, Globalisierung und die Entwicklung zur Weltgesellschaft geprägt wird.
Kreativer Politikunterricht
Authors: Janssen Bernd
Published: April 2023

Der Autor zeigt kreative Methoden auf, um Politikstunden abwechslungsreich, produktorientiert und schülernah zu gestalten, ohne notwendige fachliche Lernziele aus den Augen zu verlieren. Mithilfe von exemplarischen Stundenentwürfen wird z.?B. die Anwendbarkeit der folgenden Methoden verdeutlicht: Enträtselung einer Quelle, Standbild, Sprechmühle, fiktives Interview, Spinnweb-Analyse, Ich-Texte, Perspektivenwechsel, Phantasiereise, 2-Minuten-Rede, Schreibgespräch, Identifikationskreis, Blitzlicht. Die Vorbereitung und Durchführung dieser Methoden erfordern wenig Zeit, sie können im Unterrichtsalltag problemlos eingesetzt werden, verbessern das Lernklima und die Motivation aller Beteiligten.
Zwischen Politik und Pädagogik
Authors: Mambour Gerrit
Published: April 2023

Die vorliegende Arbeit geht der Frage nach, wie sich politische Akteure in der Bundesrepublik Deutschland mit politischer Bildung auseinandergesetzt haben und versteht sich damit als eine politische Geschichte des Faches. Sie spannt den Bogen von den Bemühungen der Besatzungsmächte nach 1945 über die Polarisierungen der 1970er Jahre bis hin zu den Herausforderungen der 1990er Jahre angesichts der Deutschen Einheit.
Training Antidiskriminierung
Authors: Schellenberg Britta
Published: April 2023

Das „Training Antidiskriminierung“ macht fit für das Leben und Arbeiten im pluralen Deutschland. Die Übungen stärken sowohl sozial als auch emotional und kognitiv. Sie sensibilisieren, regen zur (Selbst‐)Reflexion an und sind zudem handlungsorientiert. Ein besonderer Schwerpunkt liegt auf der Thematik rassistischer Diskriminierung sowie auf institutionellen Problemen und Bearbeitungsmöglichkeiten. Die Trainings können zielgruppenspezifisch zusammengestellt werden. Unter ihnen finden sich Einstiegs‐ und Grundlagenübungen, Follow‐ups sowie Vertiefungs‐ und abschließende Übungen. Methodische, didaktische und fachliche „Schlaglichter“ markieren Herausforderungen und stellen Hintergrundinformationen bereit.
Friedenslogik verstehen
Authors: Birckenbach Hanne-Margret
Published: April 2023

Wie muss Frieden heute konzeptionell gedacht werden, damit ein gewaltfreier Konfliktaustrag nicht mit dem Streben nach Sicherheit kollidiert? Wie kann Frieden unter den Bedingungen einer politisierten und globalisierten Welt funktionieren?
Dieses Buch beschreibt das Konzept der Friedenslogik – ein alternatives Konzept zur Sicherheitslogik, bei der der Wille zum Frieden durch Rüstung und militärische Drohpotenziale erreicht wird. Sein Ziel ist es, eine verbreiterte Teilhabe zu ermöglichen, die Relevanz der Schlüsselkategorie Frieden für die Sicherheits- und Menschenrechtspolitik sowie die entwicklungspolitische Zusammenarbeit begreifbar zu machen und zur Anwendung der Prinzipien anzuregen.
Das deutsche Kaiserreich
Authors: Brabänder Michael
Published: April 2023

Wie modern war das Kaiserreich? Die Geschichtswissenschaft streitet heftig über diese Frage, und sie ist auch aus didaktischer Sicht äußerst produktiv. Obrigkeitsstaatlichkeit, Militarismus und Klassenschranken stehen beispielhaft für repressive und retardierende Traditionsüberhänge. Demgegenüber hebt die jüngere Forschung verstärkt progressive
Tendenzen hervor wie etwa Massenpolitisierung, Frauenbewegung und Kommunikationsrevolution. Das Themenheft bringt diese schillernde Ambivalenz durch seine komplementäre Anlage zum Ausdruck: Antimoderne und zukunftsweisende Aspekte der Epoche wechseln einander ab und nehmen antithetisch aufeinander Bezug.
Die ausgewählten Materialien, weit überwiegend Primärquellen, sind auf Kontroversität und Multiperspektivität hin angelegt. Das Basismodul ist für Lernende beider Sekundarstufen geeignet, während sich ein Erweiterungsmodul im Sinne der Differenzierung insbesondere an Schüler*innen der Oberstufe richtet.
Präsenz. Online. Hybrid.
Authors: Gregor Florian , Heying Mareen , Neumann Arndt , Schmidt Dennis , Schürmann Svenja
Published: April 2023

Für die digitale Hochschullehre stellt die Corona-Pandemie nicht weniger als eine Zeitenwende dar. Noch Anfang 2020 war sie außerhalb der Mediendidaktik ein Nischenthema, heute bestimmt sie den universitären Alltag. Welche didaktischen Chancen und Probleme für die Geschichtswissenschaft damit verbunden sind und wie sich zukünftig Präsenz-, Online- und Hybridlehre wechselseitig ergänzen können, steht im Mittelpunkt dieses Bandes. Ausgehend von der gemeinsamen Reflexion ihrer Lehrtätigkeit an der FernUniversität in Hagen und an anderen Universitäten formulieren die Autor*innen Anregungen für den sinnvollen Einsatz von Videokonferenzsystemen, Lernplattformen und weiteren digitalen Tools.
Deutsche Revolution 1848/49
Authors: Brabänder Michael
Published: April 2023

Die Revolution von 1848/49 hat einen zentralen curricularen Stellenwert und ist in Zeiten wachsender Demokratiegefährdung ein wichtiger bildungspolitischer Erinnerungsort. Auf Basis zahlreicher Primärquellen orientieren sich die Arbeitsblätter des Heftes an den didaktischen Kategorien der Problemorientierung und Kontroversität. Unter Verwendung abwechslungsreicher Methoden und Sozialformen bietet das Basismodul Themenkomplexe wie Vormärz, Ausbruch der Revolution, Nationalversammlung,
Paulskirchenverfassung, Kaiserfrage und Gründe für das Scheitern sowie bleibende Errungenschaften der Revolution. Das Erweiterungsmodul für die Oberstufe umfasst auch Rezeptionsgeschichte und Erinnerungspolitik.
Recreación y deporte: importancia y beneficios de los espacios y escenarios deportivos
Authors: Novillo Muñoz Jorge Estuardo , Jarrín Navas Santiago Alejandro , Alcívar Pinargote Irina Magaly
Published: April 2023

La importancia y los beneficios de los espacios y escenarios deportivos tienen un impacto intensamente significativo en la sociedad, pues disponer de estos contribuye a una mejor calidad de vida, al cuidado de la salud, el buen vivir, el compañerismo, la interrelación y el sentido de pertenencia. Por ello, se plantea como objetivo del presente estudio analizar la importancia y los beneficios de espacios y escenarios deportivos, establecer la percepción que tienen los estudiantes de Bachillerato la Unidad Educativa “Simón Bolívar” de la Parroquia San Carlos del Cantón Naranjal en la provincia del Guayas; y elaborar una propuesta para el mejoramiento de los espacios y escenarios deportivos de esta institución, todo esto con la finalidad de estimular la práctica deportiva. La metodología presenta un diseño descriptivo, no experimental, de cohorte transversal mediante datos obtenidos en un solo tiempo, con enfoque metodológico cualitativo. Los resultados obtenidos de la encuesta aplicada a 108 estudiantes de la institución educativa evidencian la necesidad del mejoramiento, adecuación y mantenimientos de espacios y recursos que permitan el desarrollo correcto de la actividad física y deportiva. Finalmente, se formulan conclusiones encaminadas a determinar que los espacios y escenarios deportivos influyen de manera directa en el factor social y emocional de un individuo al momento de ejecutar actividad física o práctica deportiva
Survei Minat dan Motivasi Peserta Didik Dalam Mengikuti Kegiatan Ekstrakurikuler Pencak Silat
Authors: Lulu Amellia Musyaffa  , Yulia Eka Putri  , Ruslan Abdul Gani  , Irfan Zinat Achmad  , Rizki Aminudin  , Ardawi Sumarno  , Astri Ayu Irawan
Published: April 2023

Tujuan dari penelitian yang dilakukan adalah untuk mengetahui besarnya minat dan motivasi siswa pada kegiatan ekstrakulikuler pencak silat di SMPN 1 TelukJambe Timur. Populasi yang digunakan pada penelitian terdiri dari 30 peserta ekstrakulikuler pencak silat di SMPN 1 TelukJambe Timur. Semua data yang didapatkan melalui teknik observasi, angket dan wawancara. Data yang didapatkan menggunakan analisis deskriptif kuantitatif dengan kategori persentase. Hasil analisis memperoleh bahwa minat siswa terhadap kegiatan ekstrakulikuler sebesar 88% dan motivasi siswa sebesar 85,5%. Kesimpulannya minat dan motivasi siswa untuk mengikuti kegiatan ekstrakulikuler pencak silat di SMPN 1 TelukJambe Timur  kategori baik.
Peningkatan Kualitas Citra Termal Menggunakan Metode Blind Deconvolution
Authors: Sipahutar Mita Erlida , Sinurat Sinar , Saputra Imam
Published: April 2023

Temperature is a quantity that indicates the degree of heat of an object. The higher the temperature of an object, the hotter the object. Thermal imagery is an image created with thermal infrared spectrum that utilizes the temperature of an object. Sensing on this spectrum is based on differences in the temperature of the object and its emission power in the image which is reflected by the difference in hue or color. The sensor used in thermal images is noncamera based on scanning. In thermal imagery, there is a problem, namely blurred / blurred images that make it difficult to obtain information about objects. Blurred thermal images are caused by hot spots or rising temperatures. Thermal images often experience problems due to the large amount of diffraction fog in thermal imaging caused by the refractive index decreases as the wavelength increases. Blind deconvolution is a method that can be used to restore images that experience blur effects without having to know the value of the Point Spread Function (PSF). The process of improving the quality of thermal images is carried out using the blind deconvolution method which consists of 3 stages, namely finding the kernel value, looking for the convolution and estimation values ( ). Blind deconvolution method can be applied in improving the quality of thermal images by reducing the blur effect found in the image
Penerapan Algoritma Apostolico Giancarlo Pada Pencarian Fasilitas Umum di Provinsi Aceh Berbasis Android
Authors: Pagan Muasir , Buulolo Efori
Published: April 2023

Public Facilities are facilities built by the government for the benefit of the general public. The problem that is often faced in Aceh Province is the difficulty of knowing the location of Public Facilities in Aceh Province due to the difficulty of the signal, many Public Facilities are not yet registered and mapped on Google Maps. Mobile Phone is one of the fastest growing technologies. Mobile Phone was originally used to send letters and make calls, but has now evolved into a smartphone that has the function of searching for a location. Apostolico Giancrlo works by comparing each index of keyword characters with the String character being examined. The search for strings in the Apostolico Giancarlo algorithm starts with pre-processing keywords. Pre-processing of keywords. This pre-processing is done to look at the index number of strings that are checked for each keyword character
Implementasi Algoritma K-Nearest Neighbour dalam Memprediksi Stok Sepeda Motor
Authors: Desyanti Desyanti , Wulandari Denok
Published: April 2023

PT. Dasatama Cemerlang Motor is a company engaged in the automotive sector. With the increasingly fierce competition among the automotive industry, companies are required to be able to handle inter-industry competition. Sales system PT. Dasatama Cemerlang Motor uses a cash or credit system. For every motorcycle sale, the admin inputs sales data using Ms.Excel. Even though Ms.Excel has many features and functions that are used to process numbers, it cannot predict annual motorcycle sales for the future as a reference in marketing strategy. Because of that, forecasting is needed which will help the company to find out the trend in the number of motorcycle sales for the coming year. The KNN algorithm is one of the methods used for classification analysis, but in the last few decades the KNN method has also been used for prediction. KNN looks for the shortest distance between the data to be evaluated and its K closest neighbors. The results achieved in this study resulted in the number of motorcycles for each brand that will be sold in 2022 obtained from the addition of 5 motorcycles for each sale of each motorcycle brand. Based on the research results, the prediction accuracy rate using the KNN method is 97%.
Kombinasi Penerapan Metode WASPAS dan Rank Order Centroid (ROC) dalam Keputusan Pemilihan Teknologi Kamera Ponsel Terbaik
Authors: Anwar Badrul , Simatupang Wakhinuddin , Muskhir Mukhlidi , Irfan Dedy , Nasyuha Asyahri Hadi
Published: April 2023

Smartphone camera technology is currently growing rapidly so that it has specifications that support it so that the results obtained are almost on par with the quality of digital cameras. Supported cellphone cameras can be used in learning photography, not necessarily with a digital camera. The increasing number of cellphone choices makes users who want to study photography confused in choosing a cellphone that has the best cellphone camera technology. So that a Decision Support System was applied in this study as a system for obtaining the best cellphone camera technology decisions. In making the right decision on selecting the best cellphone camera technology, it must meet the criteria for Number of Camera Features, Number of Main Cameras, Number of Front Cameras, Main Camera Resolution, Front camera Resolution, Optical Zoom and Quality of Video Recording. Therefore a Decision Support System is needed to solve the problem by applying the ROC (Rank Order Centroid) and WASPAS (Weighted Aggregated Sum Product Assessment) methods which can produce weight and preference values from the first ranking alternative. So that the selection of the best mobile camera technology for the best mobile camera technology can be found in table 7, namely the Samsung Galaxy S22 Ultra which is in the A5 alternative with the highest score of 3.8354 as the first rank
Implementasi Metode MAUT dalam Sistem Pendukung Keputusan Seleksi Penerimaan Stock Keeper Restoran dengan Pembobotan Rank Order Centroid
Authors: Abdullah Mohammad Aldinugroho , Aldisa Rima Tamara
Published: April 2023

In a restaurant that is running well, of course, it requires the best quality human resources. One of the human resources that is needed by a restaurant is a stock keeper. Stock keeper restoration is needed to ensure that supplies are maintained properly. The selection process for receiving stock keepers is still carried out conventionally so that the selection process is sometimes not appropriate in accepting the best stock keepers. In determining the selection of restaurant stock keepers, there are several criteria, namely work experience, education, ability to operate Microsoft, attitude, communication, psychological test, interview, personal vehicle and age. Because of these problems, a system is needed that can assist in obtaining reliable and targeted recommendations. The application of a decision support system in this study is used by implementing the Multi-Attribute Utility Theory (MAUT) and ROC methods where these methods are very helpful in producing the best weight and preference values ​​from alternative data and criteria so as to get the final result, namely the best restaurant stock keeper recommendations the Alternative A5 with a score of 1,005 on behalf of Lollymoci
Application of Deep Learning LSTM in Online Power Prediction on Three-Phase Power Transformer
Authors: Pratama Destra Andika , Nabila Sinta
Published: April 2023

Electrical energy plays an important role in daily life, especially companies. The 3 Phase Power Transformer is one of the important electrical components that is very influential in distributing electrical energy to companies as is the case in PT. Semen Baturaja (Persero). 3-phase power transformers require attention because they are one of the components that are prone to interference, this interference can hinder the effectiveness of using electrical energy as a company support for employees to work. As one of the disturbances for 3-phase power transformers is overload or excessive power usage, overload can raise the temperature at the winding and reduce its service life. Artificial intelligence can be one of the keys to predict the use of power transformers in the future, especially deep learning by utilizing the LSTM algorithm. Optimal power prediction requires a lot of maximum input variables so that in this study, it not only adds an offline learning mode but adds a learning mode that can directly access the company's Power Quality Monitoring (PQM) website online with an average accuracy value of 86.62%.
Hate Speech Detection on Twitter through Natural Language Processing using LSTM Model
Authors: Arbaatun Cepthari Ningtyas , Nurjanah Dade , Nurrahmi Hani
Published: April 2023

Currently, social media is a place to express opinions. This opinion can be positive or negative. However, lately, the opinion that often appears is a negative opinion, such as hate speech. Hate speech is often found on social media, such as malicious comments intended to insult individuals or groups. Based on WeAreSocial data in 2021, one of the most used social media platforms in Indonesia is Twitter, with 63.6% of users. According to the Indonesia National Police, hate speech cases were more dominant during the period from April 2020 to July 2021. Therefore, efforts are needed to identify hate speech on the Twitter platform. One way to detect hate speech is by using deep learning. In this research, we use a deep learning model of Long Short-Term Memory (LSTM) with word embedding. FastText and Global Vector (GloVe) is the word embeddings that we use as input for word representation and classification. FastText embeddings make use of subword information to create word embeddings and GloVe embeddings using an unsupervised learning method trained on a corpus to generate distributional feature vectors. From the evaluation results on the experimental model, LSTM-FastText using random oversampling has an advantage with an F1-score of 89.91% compared to LSTM-GloVe to obtain an F1-score of 82.14%.
Analisis Performa Algoritma NBC, DT, SVM dalam Klasifikasi Data Ulasan Pengunjung Candi Borobudur Berbasis CRISP-DM
Authors: Singgalen Yerik Afrianto
Published: April 2023

The approach of visitor sentiment analysis to Borobudur Temple tourist destinations in Indonesia can be classified using various algorithms to get optimal results. Good algorithm performance can be seen from the confusion matrix (accuracy, precision, recall) value, Area Under Curve (AUC) value, and Receiver Operating Characteristic (ROC). This study used the Naïve Bayes Classifier (NBC), Decision Tree (DT), and Support Vector Machine (SVM) algorithms against 3850 text data obtained from the Tripadvisor website, especially reviews of Borobudur Temple visitors. The method refers to the Cross-Industry Standard Process for Data Mining (CRISP-DM) for optimizing tourist destination products and services by paying attention to six stages: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The results of this study show that the results of NBC's algorithm performance evaluation can be seen to have a change in the confusion matrix value at the accuracy value from 98.73% to 95.6%, the precision value changed from 98.72% to 98.97%, the recall value also changed from 100% to 96.54%. In addition, the Area Under Curve (AUC) of NBC also changed from 0.500 (50%) to 0.693 (69.35%). In addition, the results of the DT algorithm performance evaluation showed a change in the confusion matrix value at the accuracy value from 97.55% to 94.40%, the precision value increased from 97.63% to 91.86%, the recall value also changed from 99.90% to 99.47%. The Area Under Curve (AUC) of DT value also changed from 0.591 (59.1%) to 0.932 (93.2%). The results of the SVM algorithm performance evaluation showed a change in the confusion matrix value at the accuracy value from 98.73% to 99.41%; the precision value changed from 98.72% to 100%, and the recall value also changed from 100% to 99.01%. The Area Under Curve (AUC) of the SVM value also changed from 0.961 (96.1%) to 1.00 (100%). In addition, the T-test results show that the SVM algorithm is more dominant compared to other algorithms, where the SVM algorithm T-test value is 0.994 compared to the DT algorithm T-test value of 0.944 and the NBC algorithm T-test value of 0.98. Based on the Receiver Operating Characteristic (ROC) value, it can be seen that the DT algorithm also shows good performance in addition to SVM. It indicates that in analyzing the sentiment of visitors to Borobudur Temple, the best-recommended algorithm is the Support Vector Machine
Sign Language Translator Based on Raspberry Pi Camera Using The Haar Cascade Classifier Method
Authors: Aji Gempur Bayu , Yulianto Fazmah Arif , Rakhmatsyah Andrian
Published: April 2023

Sign language is the main tool of communication for people with hearing impairments. Communication is very limited and difficult to understand between normal people who do not know sign language, so an interpreter is needed. Where not everyone, even a few normal people, learns sign language, especially the Indonesian Sign Language System (SIBI). Motion Detection is an important subject in the field of computer vision, which is used by many systems. Today's Internet of Things is very helpful and facilitates daily human activities. An internet network allows a device to be controlled from a considerable distance. This study described a sign language translator tool for the deaf and speech impaired using a raspberry-pi camera and displayed it on the other device monitor. This system was built using the Python programming language and the OpenCV Library. The system is using Haar Cascade Classifier algorithm, where there will be data on all hand shapes based on the letters to be translated. This application uses the OpenCV library and Visual Studio Code IDE software connected to the Raspberry Pi Camera. The publisher will send data to other devices using the MQTT Broker to connect and display detection results to other device monitors wirelessly using a local network. The research was conducted at various distances between the hand and the webcam, from 30cm to 150cm. The research results using the Haar Cascade Classifier method to detect sign language obtained an accuracy of 82%.
The Application Of Multi-Sensor Data Fusion Method with Fuzzy Time Series Model to Improve Indoor Water Prediction Accuracy Quality
Authors: Khoiri Isfa' Bil , Erfianto Bayu
Published: April 2023

There is a lot of indoor air pollution, especially from cigarette smoke, wall paint, air fresheners and gas. With this situation, the room uses Air Box WP6003 air quality detection device by transmitting information about air quality through visualization index. This study aims to improve prediction accuracy with fuzzy time series methods processed through 2 naïve and moving average models using forecast transformers and without transformers. The level of prediction accuracy is calculated through several metrics, namely Mean Absolute Percentage Error (MAPE), Sum of Squares Error (SSE), Mean Square Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). These results can be calculated between the actual value and the predicted value. The data used is 204584 data from 4 parameters including Temperature, TVOC, HCHO and CO2. The test results with the difference from the forecast transformer and without transformer are comparable. Temperature value obtained using naïve with transformer from RMSE of 0.158866 and naïve without transformer of 0.782397, data using moving average with transformer obtained by 0.147546 and moving average without transformer of 0.772570. This can be explained by the error analysis that was tried, where the error rate continued to increase so that the experimental results continued to be far from the actual number. From the test results it can be concluded that the accuracy of air quality prediction using naïve forecast transformer is pretty accurate.
Penerapan Metode Fuzzy Tsukamoto Untuk Memprediksi Kebutuhan Praproduksi Pengolahan Tempe
Authors: Nugroho Fifto , Putri Yusup Anissa Al Fatika , Awul Maria Fatima , Babys Rosa Angelina
Published: April 2023

As a staple food in Indonesia, people from various socio-economic backgrounds enjoy tempeh. Due to the popularity of tempeh and its low price, its health benefits have been widely recognized. Tempe production is still dominated by home-based businesses. Due to the ever-increasing demand, the Jakasampurna tempeh entrepreneurs, in the West Bekasi region, must balance the efficient production rate by maintaining the best quality of tempeh. The impact that occurs during pre-production related to the purchase of raw materials for making tempeh causes a lack of availability of basic ingredients for tempeh, even the difference is too large, the risk of ingredients being wasted. The research is intended to help micro business tempeh producers gain efficiency when processing tempeh, by offering management and production advice based on the valid data provided. This study uses a fuzzy inference system based on the Tsukamoto technique. In-depth conversations and direct observations at the tempe factory, provide sources of information data for calculations. This study examines the role of three (3) variables-demand (X), supply (Y), and output (Z)-in the processing and production of tempeh (Z). In a situation where the value of X (demand) and Y (supply) is uncertain, and Z (output) can go up or down, this means that the three variables give results where the uncertainty is not considerable enough. The results on the fuzzy set go up and down at stock (Y). Production (Z) consists of many and few fuzzy groups. The predicted amount of tempeh output, if it is known from the data with a demand of 1595 and an existing stock of 85, then a total of 1770 will be produced, thus the production rate becomes efficient by continuing to follow the recommended production amount, then there is little risk of accumulation of basic material storage because what is used is according to demand and the use of soy-based ingredients is always fresh.