Multifactorial Design Research Articles

Bioimpedance-based Authentication of Defrosted Versus Fresh Pork at the End of Refrigerated Shelf Life.

Correct food labeling is a legal requirement and helps consumers to make informed purchasing choices. Mislabeling defrosted meat as fresh is illegal in the EU. However, there are no standardized technologies to authenticate fresh versus defrosted meat. We address this by testing if bioimpedance-based measurements can separate defrosted meat from refrigerated-only meat at the end of shelf life, i.e., when also fresh meat shows deterioration. Pork sirloin samples from 20 pigs were first tested at 12 days postmortem ('fresh group'). This time point was chosen to represent a typical use-by date for refrigerated storage of fresh pork. Then, all samples were transferred to a -24°C freezer for 3 days and thawed for 2 days before final testing ('frozen-thawed group'). Bioimpedance analyses (BIA) were done in a frequency range of [102-106 Hz]. Weight, pH and electrode positioning were assessed to test for potential confounding effects. Statistics for treatment dependent differences were based on the established Py parameter and phase angle, which were extracted from the BI spectra. We found that using bioimpedance testing with tetrapolar electrodes, Py and phase angle allowed almost complete separation of fresh and previously frozen samples. However, within the whole sample population, there was some overlap between the spectra of fresh and frozen samples. Yet, based on Py, only one fresh sample (5% of Ntotal=20) fell in the lowest Py class with all the frozen samples. We used a multifactorial design that allowed to test the effects of potential confounding factors, such as electrode positioning and meat quality parameters. We found a relatively low explained variance for the Py parameter, indicating that confounding effects from other factors or quality defects in fresh pork may affect the detection capacity of bioimpedance-based authentication of fresh pork. Our data, therefore, suggest that reliable fresh-label authentication with bioimpedance testing should be based on testing a small number of samples to represent a specific lot of pork that is to be inspected.

Development and optimization of an ocular hydrogel adhesive patch using definitive screening design (DSD).

Adhesive hydrogels based on chemically modified photocrosslinkable polymers with specific physicochemical properties are frequently utilized for sealing wounds or incisions. These adhesive hydrogels offer tunable characteristics such as tailorable tissue adhesion, mechanical properties, swelling ratios, and enzymatic degradability. In this study, we developed and optimized a photocrosslinkable adhesive patch, GelPatch, with high burst pressure, minimal swelling, and specific mechanical properties for application as an ocular (sclera and subconjunctival) tissue adhesive. To achieve this, we formulated a series of hydrogel patches composed of different polymers with various levels of methacrylation, molecular weights, and hydrophobic/hydrophilic properties. A computerized multifactorial definitive screening design (DSD) analysis was performed to identify the most prominent components impacting critical response parameters such as adhesion, swelling ratio, elastic modulus, and second order interactions between applied components. These parameters were mathematically processed to generate a predictive model that identifies the linear and non-linear correlations between these factors. In conclusion, an optimized formulation of GelPatch was selected based on two modified polymers: gelatin methacryloyl (GelMA) and glycidyl methacrylated hyaluronic acid (HAGM). The ex vivo results confirmed adhesion and retention of the optimized hydrogel subconjunctivally and on the sclera for up to 4 days. The developed formulation has potential to be used as an ocular sealant for quick repair of laceration type ocular injuries.

Enhancing surface properties and corrosion resistance of API 5L X52 steel through orthogonal ball burnishing

Surface engineering involves using various technologies to modify the surface and near-surface areas of a material to enable it to perform different functions from the bulk of the material. Two primary methods of surface engineering are surface coatings and surface modification. Orthogonal ball burnishing is a process that improves certain surface integrity properties of materials through superficial plastic deformation. This study focuses on the effect of this treatment and the influence of its parameters on the physico-geometric surface characteristics of API 5L X52 steel. Burnishing tests were conducted with four main parameters: burnishing force (Py), feed rate (f), spindle speed (N), and number of passes (i). The analysis revealed an appropriate combination of burnishing parameters that led to a 98% reduction in surface roughness and a 42% increase in surface microhardness. A multi-objective optimization of roughness and microhardness after burnishing yielded optimal parameters. Furthermore, a multifactorial experimental design demonstrated that corrosion resistance increased by 318%.

The PerPAIN trial: a pilot randomized controlled trial of personalized treatment allocation for chronic musculoskeletal pain-a protocol.

The therapy of chronic musculoskeletal pain (CMSP) is complex and the treatment results are often insufficient despite numerous therapeutic options. While individual patients respond very well to specific interventions, other patients show no improvement. Personalized treatment assignment offers a promising approach to improve response rates; however, there are no validated cross-disease allocation algorithms available for the treatment of chronic pain in validated personalized pain interventions. This trial aims to test the feasibility and safety of a personalized pain psychotherapy allocation with three different treatment modules and estimate initial signals of efficacy and utility of such an approach compared to non-personalized allocation. This is a randomized, controlled assessor-blinded pilot trial with a multifactorial parallel arm design. CMSP patients (n = 105) will be randomly assigned 1:1 to personalized or non-personalized treatment based on a cluster assignment of the West Haven-Yale Multidimensional Pain Inventory (MPI). In the personalized assignment condition, patients with high levels of distress receive an emotional distress-tailored intervention, patients with pain-related interference receive an exposure/extinction-tailored treatment intervention and patients who adapt relatively well to the pain receive a low-level smartphone-based activity diary intervention. In the control arm, patients receive one of the two non-matching interventions. Effect sizes will be calculated for change in core pain outcome domains (pain intensity, physical and emotional functioning, stress experience, participant ratings of improvement and satisfaction) after intervention and at follow-up. Feasibility and safety outcomes will assess rates of recruitment, retention, adherence and adverse events. Additional data on neurobiological and psychological characteristics of the patients are collected to improve treatment allocation in future studies. Although the call for personalized treatment approaches is widely discussed, randomized controlled trials are lacking. As the personalization of treatment approaches is challenging, both allocation and intervention need to be dynamically coordinated. This study will test the feasibility and safety of a novel study design in order to provide a methodological framework for future multicentre RCTs for personalized pain psychotherapy. German Clinical Trials Register, DRKS00022792 ( https://www.drks.de ). Prospectively registered on 04/06/2021.

Development of eplerenone nano sono-crystals using factorial design: enhanced solubility and dissolution rate via anti solvent crystallization technique

Objective The purpose of this work was to improve EP solubility by using a sono-crystalization approach to reduce particle size and hence, increase the dissolution rate. Significance Eplerenone (EP) is an antagonist of the aldosterone receptor and is used for the treatment of hypertension and chronic heart failure. EP was classed as biopharmaceutical classification (BCS) class II because of its poor solubility and high permeability, which retards dissolution rate and drug absorption, and decreases bioavailability. Methods Three-factors and two-level (23) multifactorial design have been employed to study the effect of independent variables which are drug concentration; (X1), stabilizer type (X2), and stabilizer concentration (X3) on responses; saturated solubility of EP in distilled water (Y1), saturated solubility in acidic media pH 1.2 (Y2), particle size (Y3), and polydispersity index, PDI (Y4). Also, they were characterized by Fourier transformed infrared spectroscopy (FTIR), Powder X-ray diffraction (PXRD), Differential scanning calorimetry (DSC), and yield percentage. The optimum formula was further subjected to an in-vitro release study. Results The optimized formulation showed a saturated solubility of EP as 1.29, and 1.86 (mg/ml) in distilled water and acidic media (pH 1.2) respectively. Also, the particle size of 133 nm, and PDI of 0.824 with a small percentage of the difference between the observed and predicted values. Ninety-one percent of EP was released within 10 min., and it was completely released within 45 min. with a significantly higher release rate compared to raw drug. Conclusion This work resulted in a satisfactory enhancement of solubility and dissolution rate which, is suitable for further in-vivo analysis.

Bilateral Sensorimotor Cortical Communication Modulated by Multiple Hand Training in Stroke Participants: A Single Training Session Pilot Study.

Bi-manual therapy (BT), mirror therapy (MT), and robot-assisted rehabilitation have been conducted in hand training in a wide range of stages in stroke patients; however, the mechanisms of action during training remain unclear. In the present study, participants performed hand tasks under different intervention conditions to study bilateral sensorimotor cortical communication, and EEG was recorded. A multifactorial design of the experiment was used with the factors of manipulating objects (O), robot-assisted bimanual training (RT), and MT. The sum of spectral coherence was applied to analyze the C3 and C4 signals to measure the level of bilateral corticocortical communication. We included stroke patients with onset <6 months (n = 6), between 6 months and 1 year (n = 14), and onset >1 year (n = 20), and their Brunnstrom recovery stage ranged from 2 to 4. The results showed that stroke duration might influence the effects of hand rehabilitation in bilateral cortical corticocortical communication with significant main effects under different conditions in the alpha and beta bands. Therefore, stroke duration may influence the effects of hand rehabilitation on interhemispheric coherence.

A comparative study of the efficacy and functionality of 10 commercially available wrist-hand orthoses in healthy females during activities of daily living.

Optimal wrist/hand function facilitates the performance of activities of daily living (ADL), which are associated with independent living and increased quality of life. Rheumatological, musculoskeletal, and neurological conditions or injuries can negatively impact hand/wrist function, with wrist-hand orthoses (WHOs) being prescribed to control motion and improve wrist alignment whilst enhancing hand/wrist functionality. The objective of this follow-up study was to quantify and assess the efficacy and functionality of 10 commercially available WHOs during five ADLs. Randomised comparative functional study of the wrist/hand with and without WHOs. Ten right-handed healthy female participants with no underlying condition or pain affecting the wrist/hand that could influence their ability to undertake ADLs. The primary outcome was ascertaining the impact of each WHO during five ADLs. Movement was quantified in sagittal, coronal, and transverse planes with and without WHO use. The resting position, maximum mean flexion, extension, pronation, supination, and radial and ulnar deviation attained were quantified, with the time spent in wrist flexion, wrist flexion and ulnar deviation, wrist extension >15°, and radial deviation recorded. Finally, the time to complete each task was compared between conditions. At rest, four WHOs maintained the desired sagittal plane wrist position, with only one preventing radial deviation with variation observed in the transverse plane. All WHOs reduced mean maximum flexion, with only 10 out of 50 tests (20%) showing a successful restriction of flexion (p < 0.05) and 14 out of 50 (28%) showing a reduction of the time spent in flexion (p < 0.05). In 42 out of 50 tests (84%), the wrist was extended >15° for a significant amount of time (p < 0.05), with the wrist in radial deviation in 98% for a significant amount of time (p < 0.001). The wrist was flexed and in ulnar deviation for a significant time for 6 out of 50 tests (12%, p < 0.05), whilst all WHOs impacted transverse movement, with 27% reducing it significantly, and all tasks took a longer time to complete, with 46% taking a significantly longer time (p < 0.05). The WHOs did not control movement sufficiently to successfully manage any condition requiring motion restriction associated with pain relief and were found to increase the time to complete the ADLs. Multifactorial design aspects influenced functionality, and there is a clear need for WHO redesign.

Phenol Biodegradation and Bioelectricity Generation by a Native Bacterial Consortium Isolated from Petroleum Refinery Wastewater

Phenolic compounds are highly toxic, along with being one of the most persistent substances in petroleum refinery effluents. The most potent solution is through phenol bioremediation to produce demi-water and bioenergy, which are two effective outcomes for a single process. Fifteen genetically identified native bacterial strains were isolated from the effluents of the petrochemical industry plant (AMOC, Egypt) and were investigated for potential phenol biodegradation activity and energy bioproduction individually and as a consortium in a batch culture. Successful and safe phenol biodegradation was achieved (99.63%) using a native bacterial consortium after statistical optimization (multifactorial central composite design) with bioelectricity generation that reached 3.13 × 10−6 mW/cm3. In conclusion, the native consortium was highly potent in the bioremediation process of petroleum refinery wastewater, protecting the environment from potential phenol pollution with the ability to generate an electrical current through the bioremediation process.

Intergenerational effects of overfeeding on aversive learning in zebrafish (Danio rerio).

The obesity epidemic is concerning as obesity appears to negatively impact cognition and behavior. Furthermore, some studies suggest that this negative effect could be carried across generations from both mothers and fathers although evidence is not consistent. Here, we attempt to address how obesogenic diets in the parental generation (F0) can impact offspring's cognition and anxiety intergenerationally (F1) in a zebrafish model. We compare both mean trait values and their variances. Using a multifactorial design, we created a total of four groups: F1T (treatment mothers × treatment fathers); F1M (treatment mothers × control fathers); F1P (treatment fathers × control mothers); and F1C (control mothers × control fathers, F1C); and subjected them to anxiety tank tests and aversive learning assays. When both parents were exposed, offspring (F1T) displayed the poorest aversive learning, while offspring that only had one parent exposed (F1P and F1M) learnt the aversive learning task the best. Zebrafish in all groups displayed no statistically significant differences in anxiety‐associated behaviors. Males and females also performed similarly in both anxiety and aversive learning assays. While all F1 groups had similar levels of fasting blood glucose, variance in glucose levels were reduced in F1P and F1T indicating the importance of investigating heteroskedasticity between groups. Furthermore, anxiety behaviors of these two groups appeared to be less repeatable. To our knowledge, this is the first study to test the intergenerational effects of an obesogenic diet on zebrafish cognition. Our multifactorial design as well as repeated tests also allowed us to disentangle maternal and paternal effects (as well as combined effects) and accurately detect subtle information such as between‐individual variation.

Evaluation of diatomaceous earth in the removal of crystal violet dye in solution

In this research, the adsorption capacity of diatomaceous earth in the removal of the crystal violet dye (CV) in aqueous solution was evaluated. The experimental methodology began with the determination of the texture properties by adsorption-desorption isotherms with N2 a 77 K, the identification of functional groups by Fourier transform infrared spectrophotometry (FTIR), morphology by scanning electron microscopy (SEM) and, the pH of the isoelectric point by the point of zero charge (PZC). A categorical multifactorial design was developed with factors such as the initial concentration of the dye (300-1000 mg/dm3), the temperature (30, 35 and 40ºC) and the initial pH of the solution (5, 6, 7 and 8). The maximum adsorption capacity was of 96.1 mg/g up 30ºC and pH 8, satisfactorily fitting the experimental data to the Langmuir isotherm model with R2 = 0.99, suggesting a monolayer adsorption mechanism on a homogeneous surface. In conclusion, diatomaceous earth can be considered as an efficient adsorbent in the removal of CV in aqueous solution.

How do translators select among competing (near-)synonyms in translation?

Abstract This article investigates how translators choose between multiple competing onomasiological variants to express (verbal) inchoativity in English-to-Dutch translations. Using a corpus-based multifactorial research design, we measure the impact of three well-known socio-cognitive mechanisms on the actual choice, namely the complexity principle, risk aversion, and cognate exposure. We apply the behavioural profile method, which allows us to operationalise these three explanatory mechanisms via ID-tags, and we then use conditional random forest modelling to determine the impact of each mechanism on the choice between four competing verbs of inchoativity. The results of our analyses show that the complexity principle plays a clear role in translated texts, as there is a significant preference for the active construction and for prototypical verbs in passive constructions. Genre-specific risk-averse behaviour as well as cognate avoidance were not observed.

The Impact of Bias and Nitrogen Pressure on TiNbN Coatings in Arc-PVD Processes—A Multifactorial Study

Titanium-based nitride physical vapour deposition (PVD) coatings, such as titanium nitride (TiN), are state-of-the-art solutions for surface modifications of CoCrMo-based implants for patients who are hypersensitive to metallic ions such as cobalt, chromium and nickel. Variations of the process parameters during the cathodic arc evaporation are known to exhibit an impact on the surface properties of coatings. The aim of this study was to characterise the effect of the substrate bias and the nitrogen pressure on the surface properties of TiNbN coatings deposited on CoCrMo alloys in a limited parameter set. Eighteen parameter sets were coated with TiNbN. The substrate bias (−100 to −200 V) and the nitrogen pressure (0.3–3.0 Pa) were selected following a randomised, multifactorial response surface test design. The coating thickness, roughness, hardness and scratch resistance were measured following standardised procedures. The structure of the coating was analysed by SEM and XRD. The substrate bias and the pressure exhibited a significant impact on the coating thickness and the surface roughness. The grain growth was predominantly impacted by the bias. The parameter variation did not show any significant impact on the XRD, hardness or scratch test results.

Exploring Successful Breastfeeding Behaviors Among Women Who Have High Body Mass Indices.

Women with high body mass indices are at risk of lower breastfeeding rates but the drivers of successful breastfeeding in this population are unclear. We aimed to (a) explore the barriers and enablers to breastfeeding among women with high body mass indices and (b) map specific behaviors suitable for intervention across the antenatal to postpartum periods. This was a prospective, cross-sectional qualitative study. We conducted semi-structured interviews with women with high body mass indices who successfully breastfed for 6 months or more (n =20), partners (n = 22), and healthcare professionals (n =19) in Ireland during 2018. Interviews were audio recorded, and transcribed verbatim. Data were inductively coded using reflexive thematic analysis and deductively mapped within the Capability, Opportunity, Motivation-Behavior model. The three themes developed were knowledge, support, and self-efficacy. Knowledge supported a participant's psychological and physical capability to engage in breastfeeding. Support was related to the social and physical opportunity to enable performance of breastfeeding behaviors. Self-efficacy influenced reflective and automatic motivation to perform breastfeeding behaviors. A multifactorial intervention design is needed to support successful breastfeeding. The barriers and enablers identified for participants with high body mass indices were similar to those for the broader population; however, the physicality and associated social bias of high body mass indices mean that additional support is warranted. Antenatal and postpartum breastfeeding services need a multifaceted, inclusive, and high-quality program to provide the necessary support to women with higher body mass indices.

Advancing Microbial Electrolysis Technology via Impedance Spectroscopy and Multi-Variate Analysis

In this study, EIS data collected from three electrode half-cell configurations was used to qualitatively identify and quantitatively determine the responses of ohmic, kinetic, and mass transfer impedances to buffer concentration, flow rate, and applied potential in an MEC consisting of a bioanode and an abiotic nickel-mesh cathode separated by a microporous membrane. EIS measurements were collected during startup and growth (including an abiotic run) at closed circuit and open circuit conditions to accurately match portions of the EIS spectra with the corresponding physical processes and to quantify kinetic changes as the biofilm matured. Once the MEC reached a target current density of 10 A/m2, a multifactorial experimental design formulated as a Taguchi array was executed to assess the impact of flow rate, buffer concentration, and applied voltage on EIS and performance response variables. Multivariate analysis was conducted to ascertain the relative importance of the independent variables and identify any correlations between process conditions and system response. The liquid flow through the anode was found to be strongly correlated with the impedance parameters and the MEC performance, while applied voltage influenced them to a lesser degree. The results are important from an industrial application perspective and provide insights into parameters important for process optimization.

Effects of ensiling conditions on pyrrolizidine alkaloid degradation in silages mixed with two different Senecio spp.

ABSTRACT Pyrrolizidine alkaloid (PA) producing plants like Senecio jacobaea or Senecio vernalis are undesirable in fields for forage production, since PA are toxic to animals and humans. Previous studies have shown that ensiling can decrease the PA content in forages; however, no direct comparison of diverse PA from different Senecio spp. under various ensiling conditions has been made. Therefore, it was hypothesised that individual PA might react differently to ensiling, and silage inoculation with Lactobacillus will affect PA degradation because of a quick drop in pH, contrastingly to poor silage qualities resulting from contamination with soil. Laboratory scale grass silages were prepared in a multifactorial design with two levels of dry matter contents, four ensiling treatments and two storage durations (10 and 90 d). For each combination, four replicates were prepared individually. Ensiling treatments were (1) 10 ml water per kg fresh matter as control (CON), (2) 10 ml heterofermentative Lactobacillus buchneri strain LN4637 at 3 · 105 cfu/kg fresh matter plus 25 g molasses/kg fresh matter (LBHE), (3) 10 ml homofermentative lactobacilli at 3 · 105 cfu/kg fresh matter plus 25 g molasses/kg fresh matter (LBHO) and (4) 10 g soil/kg fresh matter (SOIL). Treatments affected formation of fermentation acids. Acetic acid was highest with treatment LBHE, and butyric acid was highest with treatment SOIL. All ensiling treatments effectively reduced total PA content by degrading the PA N-oxide (PANO) fraction. In parallel, though, the fraction of the tertiary base forms increased by around one-tenth of the original PANO content. Contents of jaconine and senkirkine were higher after ensiling than before, with regards to the sum of PA and PANO for jaconine, indicating higher stability or new formation through degradation of other PA. Overall, ensiling offers opportunities to decrease the PA-PANO content in feed and therefore lowers the risk of intoxication by Senecio in livestock.

Prediction and Optimization on Tribological Behaviour of Kenaf/Carbon Fiber Reinforced Epoxy Matrix Hybrid Composites

The awareness on sustainability of the environment among the researchers leads to the exploration of natural fiber composite materials. Hybridization of synthetic fiber and natural fiber is one of the potential strategies to enhance the mechanical properties as well as the degradability of such composite materials. However, less information concerning the optimization of tribological properties of this hybrid composite is available in literature. The aim of this study is to propose a statistical model to predict and optimize wear and coefficient of friction of kenaf/carbon reinforced epoxy composite. The value of parameters; load and sliding velocity ranges from 10 to 30 N and 20.9 to 52.3 m/s, respectively, are used to assess wear and coefficient of friction (COF) of different stacking sequences using the Analysis of Variance (ANOVA). The tribological test was conducted using a pin-on-disc tribometer. Multifactorial design analysis was employed to optimize the test control variables. It was found that, the optimized factors that affects the coefficient of friction and wear is at load 30 N and sliding velocity of 52.36 m/s. The proposed statistical models for wear and COF have 99.5% and 97.6% reliability, respectively. The generated equation models are bounded within the wear test control factors and ranges. The outcome from this study will be very useful for main parameter prediction for an optimized wear and COF.

The effect of synthesis parameters on density and thermal conductivity of MMT based aerogel. Application of experimental design model

Aerogels are a class of materials largely composed of air with very low bulk densities. Due to their extremely porous nature, aerogels are very promising materials for thermal and acoustic insulation applications. While their majority described in the literature are silica-based, there are a limited number of references to clay-based aerogels. The abundance of clay and its limited toxicity make them particularly attractive. Clay aerogels formation involves mixing of clay with water, freezing of the suspension and freeze-drying of the frozen gel. This work concerns the use of montmorillonite as a raw material for the synthesis of aeroclays with low density. Clay aerogels were synthesized by mixing montmorillonite clay and water and their density was measured. Various agents were used for the reinforcement of the brittle structure of clay aerogel. A multifactorial experimental design model is applied in order to study the combined effect of synthesis parameters on the density of aeroclays. The thermal conductivity of the optimized sample was determined by means of the Heat Flow method, on a Netzsch HFM 436 lamda Heat Flow Meter. As it is concluded, aeroclays, derived from a solution of montmorillonite clay and water alone were brittle so the addition of reinforcement agent is crucial. Depending on the synthesis conditions, a density range from 0.05 to 0.4 g/cm3 and thermal conductivity in the range of 0.04 W/mK was achieved. The factors with the highest impact on the density of the final product were the content of MMT and reinforcement agent in the precursor solution. The optimized synthesis in terms of density and thermal conductivity was proved to be inflammable.

Growth performance of wild cherry (Prunus avium L.) clones in planted forests under different managements in Galicia, NW Spain

Abstract Wild cherry (Prunus avium L.) is one of the main valuable temperate broadleaved species from Europe considering the market appreciation of their timber. In the present study we analyzed the growth performance of different wild cherry clones under different management treatments. A field trial was settled in Bosques Naturales S.A. “Sendelle” forests (Arzúa, Galicia, NW Spain) with a multifactorial design to analyze the effect of clones (4 clones), pruning intensity (33 % and 50 % of total height) and fertilization (3 treatments). It was monitored for 8 years. Clone was found out to be the most important variable in this study while tree growth was neither significantly affected by the pruning intensity nor the fertilization treatments. Clone selection is highlighted as a key issue in wild cherry commercial planted forests for timber production and the selected C-15 clone shows an excellent field performance compared to other clones based on the trial and the literature, reaching a DBH of 14 cm after eight years.

Die wear reduction by multifactorial Design of Experiments applied to forging simulations

Both wear and fracture mechanisms of 32CrMoV12 dies after hot forging were investigated through SEM and metallographic tests. In order to contain wear mechanisms and to prevent fracture occurrence, a multifactorial Design of Experiments (DoE) has been executed on the Finite Element simulated process. Considered design factors have been limited to process parameters directly modifiable in the actual industrial process. Two step forging cycle has been accounted in the evaluation of stress distribution on the dies and in the estimate of die wear. Despite high process variability, the possibility to effectively hinder fracture and to control most of the wear sources was demonstrated.

Compensation and Work Discipline on Teachers’ Performance: A Multifactorial Design

The purpose of this study is to measure the links between compensation and work disciplines towards the teachers’ performance. Underlying the concept of Human Resources Management (HRM) education, this study investigates the effect of the two aforementioned variables on the teacher’s pedagogical approach, classroom activities, and teaching strategies using technology. This research was conducted using a quantitative approach, specifically a multifactorial design. The sample of this current study was 53 people. The data was gathered through test and questionnaires. The data analysis used was a descriptive statistics and multiple linear regression analysis. The results showed that simultaneously the compensation and work discipline variables had a positive and significant effect on the teachers’ performance, and partially compensation and work discipline had a positive and significant effect on the teachers’ performance. The multiple linear regression equation is Y = 20.789 + 0.299X1 + 0.271X2. Meanwhile, the results of the descriptive analysis show that the variables of compensation, work discipline, and teachers’ performance are in a good criteria.